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• 15 Latest Networking Research Topics for Students

Comparative analysis between snort and suricata IDS software(s)

Description of the topic

The main focus of this research is to conduct a comparative analysis between Snort and Suricata software to determine which IDS software can provide better performance. There are various IDS software(s) available that can be used by organizations but it is difficult to identify which one is best (Aldarwbi et al., 2022). Different organizational structures are often facing problems while setting up an IDS system which results in false positives and intrusions. Through this research, it can be identified which IDS software is better and what secure configuration is required to detect intrusions (Waleed et al., 2022).

Research objectives

• To evaluate Snort and Suricata IDS software(s) to determine the most optimal one.
• To identify the false positive rate of Snort and Suricata on the networked environment.

Research questions

RQ1: Which IDS software can perform better on the production network in terms of performance, security, scalability and reliability?

RQ2: What different ways can be followed to deal with false positive problems in IDS technology?

Research methodology

The given research objectives and research questions can be addressed using quantitative research methodology where an experimental approach can be followed. For the given topic, both Snort and Suricata IDS systems should be configured and tested against different attacks. Depending on the findings, it can be analyzed which IDS software can perform better in terms of performance and security (Shuai & Li, 2021).

• Aldarwbi, M.Y., Lashkari, A.H. and Ghorbani, A.A. (2022) “The sound of intrusion: A novel network intrusion detection system,” Computers and Electrical Engineering , 104, p. 108455.
• Shuai, L. and Li, S. (2021) “Performance optimization of Snort based on DPDK and Hyperscan,” Procedia Computer Science , 183, pp. 837-843.
• Waleed, A., Jamali, A.F. and Masood, A. (2022) “Which open-source ids? Snort, Suricata or Zeek,” Computer Networks , 213, p. 109116.

Role of honeypots and honey nets in network security

Network Security has become essential nowadays and there is a need for setting up robust mechanisms to maintain confidentiality and integrity (Feng et al., 2023). Due to the number of security mechanisms available, organizations found it hard to finalize and implement them on their network. For example, honey pots and honeynet approaches look almost the same and have the same purpose but work differently. Under this research topic, the configuration of honeynets and honeypots can be done to check which one can perform better security in terms of trapping cyber attackers. The entire implementation can be carried out in the cloud-based instance for improved security and it can be identified which type of honey pot technology must be preferred (Maesschalck et al., 2022).

• To set up a honey pot system using Open Canary on the virtual instance to protect against cyber attackers.
• To set up a honeynet system on the virtual instance to assure protection is provided against malicious attackers.
• To test honeypots and honeynets by executing DDoS attacks to check which can provide better security.

RQ1: Why is there a need for using honeypots over honey pots in a production networked environment?

RQ2: What are the differences between cloud-based and local honey pot systems for endpoint protection?

This research can be carried out using the quantitative method of research. At the initial stage, the implementation of honeypots and honeypots can be done on the virtual instance following different security rules. Once the rules are applied, the testing can be performed using a Kali Linux machine to check whether honey pots were effective or honeynets (Gill et al., 2020).

• Feng, H. et al. (2023) “Game theory in network security for Digital Twins in industry,” Digital Communications and Networks [Preprint].
• Gill, K.S., Saxena, S. and Sharma, A. (2020) “GTM-CSEC: A game theoretic model for cloud security based on ids and Honeypot,” Computers & Security , 92, p. 101732
• Maesschalck, S. et al. (2022) “Don’t get stung, cover your ICS in honey: How do honeypots fit within industrial control system security,” Computers & Security , 114, p. 102598.

How do malware variants are progressively improving?

This research can be based on evaluating how malware variants are progressively improving and what should be its state in the coming future. Malware is able to compromise confidential user’s information assets which is why this research can be based on identifying current and future consequences owing to its improvements (Deng et al., 2023). In this field, there is no research work that has been carried out to identify how malware variants are improving their working and what is expected to see in future. Once the evaluation is done, a clear analysis can also be done on some intelligent preventive measures to deal with dangerous malware variants and prevent any kind of technological exploitation (Tang et al., 2023).

• To investigate types of malware variants available to learn more about malware's hidden features.
• To focus on future implications of malware executable programs and how they can be avoided.
• To discuss intelligent solutions to deal with all malware variants.

RQ1: How do improvements in malware variants impact enterprises?

RQ2: What additional solutions are required to deal with malware variants?

In this research, qualitative analysis can be conducted on malware variants and the main reason behind their increasing severity. The entire research can be completed based on qualitative research methodology to answer defined research questions and objectives. Some real-life case studies should also be integrated into the research which can be supported by the selected topic (Saidia Fasci et al., 2023).

• Deng, H. et al. (2023) “MCTVD: A malware classification method based on three-channel visualization and deep learning,” Computers & Security , 126, p. 103084.
• Saidia Fasci, L. et al. (2023) “Disarming visualization-based approaches in malware detection systems,” Computers & Security , 126, p. 103062.
• Tang, Y. et al. (2023) “BHMDC: A byte and hex n-gram based malware detection and classification method,” Computers & Security , p. 103118.

Implementation of IoT - enabled smart office/home using cisco packet tracer

The Internet of Things has gained much more attention over the past few years which is why each enterprise and individual aims at setting up an IoT network to automate their processes (Barriga et al., 2023). This research can be based on designing and implementing an IoT-enabled smart home/office network using Cisco Packet Tracer software. Logical workspace, all network devices, including IoT devices can be used for preparing a logical network star topology (Elias & Ali, 2014). To achieve automation, the use of different IoT rules can be done to allow devices to work based on defined rules.

• To set up an IoT network on a logical workspace using Cisco Packet Tracer simulation software.
• To set up IoT-enabled rules on an IoT registration server to achieve automation (Hou et al., 2023).

RQ: Why is the Cisco packet tracer preferred for network simulation over other network simulators?

At the beginning of this research, a quantitative research methodology can be followed where proper experimental set-up can be done. As a packet tracer is to be used, the star topology can be used to interconnect IoT devices, sensors and other network devices at the home/office. Once a placement is done, the configuration should be done using optimal settings and all IoT devices can be connected to the registration server. This server will have IoT rules which can help in achieving automation by automatically turning off lights and fans when no motion is detected (Baggan et al., 2022).

• Baggan, V. et al. (2022) “A comprehensive analysis and experimental evaluation of Routing Information Protocol: An Elucidation,” Materials Today: Proceedings , 49, pp. 3040–3045.
• Barriga, J.A. et al. (2023) “Design, code generation and simulation of IOT environments with mobility devices by using model-driven development: Simulateiot-Mobile,” Pervasive and Mobile Computing , 89, p. 101751.
• Elias, M.S. and Ali, A.Z. (2014) “Survey on the challenges faced by the lecturers in using packet tracer simulation in computer networking course,” Procedia - Social and Behavioral Sciences , 131, pp. 11–15.
• Hou, L. et al. (2023) “Block-HRG: Block-based differentially private IOT networks release,” Ad Hoc Networks , 140, p. 103059.

Comparative analysis between AODV, DSDV and DSR routing protocols in WSN networks

For wireless sensor networks (WSN), there is a major need for using WSN routing rather than performing normal routines. As WSN networks are self-configured, there is a need for an optimal routing protocol that can improve network performance in terms of latency, jitter, and packet loss (Luo et al., 2023). There are often various problems faced when WSN networks are set up due to a lack of proper routing protocol selection. As a result of this, severe downtime is faced and all links are not able to communicate with each other easily (Hemanand et al., 2023). In this research topic, the three most widely used WSN routing protocols AODV, DSDV and DSR can be compared based on network performance. To perform analysis, three different scenarios can be created in network simulator 2 (Ns2).

• To create three different scenarios on ns2 software to simulate a network for 1 to 100 seconds.
• To analyze which WSN routing is optimal in terms of network performance metrics, including latency, jitter and packet loss.
• To use CBR and NULL agents for all wireless scenarios to start with simulation purposes.

RQ: How do AODV, DSR and DSDV routing protocols differ from each other in terms of network performance?

This research can be carried out using a quantitative research method. The implementation for the provided research topic can be based on Ns2 simulation software where three different scenarios can be created (AODV, DSDV and DSR). For each scenario, NULL, CSR and UDP agents can be done to start with simulation for almost 1 to 100 seconds. For all transmissions made during the given time, network performance can be checked to determine which routing is best (Mohapatra & Kanungo, 2012).

• Human and, D. et al. (2023) “Analysis of power optimization and enhanced routing protocols for Wireless Sensor Networks,” Measurement: Sensors , 25, p. 100610. Available at: https://doi.org/10.1016/j.measen.2022.100610.
• Luo, S., Lai, Y. and Liu, J. (2023) “Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network,” Computers & Security , 126, p. 103083. Available at: https://doi.org/10.1016/j.cose.2022.103083.
• Mohapatra, S. and Kanungo, P. (2012) “Performance analysis of AODV, DSR, OLSR and DSDV routing protocols using NS2 Simulator,” Procedia Engineering , 30, pp. 69–76. Available at: https://doi.org/10.1016/j.proeng.2012.01.835.

Securing wireless network using AAA authentication and WLAN controller

Wireless networks often face intrusion attempts due to insecure protocols and sometimes open SSIDs. As a result of this, man-in-the-middle and eavesdropping attacks become easier which results in the loss of confidential information assets (Sivasankari & Kamalakkannan, 2022). When it comes to managing networks in a large area, there are higher chances for attacks that enable cyber attackers in intercepting ongoing communication sessions. However, there is currently no research conducted where the use of AAA authentication has been done with WLAN controllers to make sure a higher level of protection is provided (Nashwan, 2021). The proposed research topic can be based on securing wireless networks with the help of AAA authentication and WLAN controllers. The use of AAA authentication can be done to set up a login portal for users whilst the WLAN controller can be used for managing all wireless access points connected to the network (Nashwan, 2021).

• To set up AAA authentication service on the wireless network simulated on Cisco Packet Tracer for proper access control.
• To set up a WLAN controller on the network to manage all wireless access points effortlessly.
• To use WPA2-PSK protocol on the network to assure guest users are only able to access wireless networks over a secure protocol.

RQ1: What additional benefits are offered by AAA authentication on the WLAN networks?

RQ2: Why are wireless networks more likely to face network intrusions than wired networks?

This research topic is based on the secure implementation of a wireless LAN network using a Cisco packet tracer. Hence, this research can be carried out using a quantitative research method. The implementation can be carried out using AAA authentication which can assure that access control is applied for wireless logins. On the other hand, a WLAN controller can also be configured which can ensure that all WAPs are managed (ZHANG et al., 2012).

• Nashwan, S. (2021) “AAA-WSN: Anonymous Access Authentication Scheme for wireless sensor networks in Big Data Environment,” Egyptian Informatics Journal , 22(1), pp. 15–26.
• Sivasankari, N. and Kamalakkannan, S. (2022) “Detection and prevention of man-in-the-middle attack in IOT network using regression modeling,” Advances in Engineering Software , 169, p. 103126.
• ZHANG, J. et al. (2012) “AAA authentication for Network mobility,” The Journal of China Universities of Posts and Telecommunications , 19(2), pp. 81-86.

OWASP's approach to secure web applications from web application exploits

The research can revolve around the development of web applications by considering OWASP's top 10 rules. Usually, web applications are deployed by organizations depending on their requirements and these applications are vulnerable to various exploits, including injection, broken authentication and other forgery attacks (Poston, 2020). Identifying every single vulnerability is difficult when reference is not taken and often organizations end up hosting a vulnerable server that leads to privacy issues and compromises confidential information easily. In this research, OWASP's top 10 approaches can be followed to develop a secure web application that can be able to protect against top web application exploits. This approach is based on emphasizing severe and minor vulnerabilities which must be patched for protecting against web application attacks (Deepa & Thilagam, 2016).

• The first objective can be setting up an insecure web application on the cloud environment which can be exploited with different techniques.
• The second objective can be to consider all techniques and procedures provided by OWASP's top 10 methodologies.
• The last objective can be applying all fixes to insecure web applications to make them resistant to OWASP top 10 attacks (Sonmez, 2019).

RQ1: What are the benefits of using OWASP's top 10 approaches to harden web applications in comparison to other security approaches?

The research methodology considered for this research project can be quantitative using an experimental approach. The practical work can be done for the selected topic using AWS or the Azure cloud platform. Simply, a virtual web server can be configured and set up with a secure and insecure web application. Following OWASP's top 10 techniques and procedures, the web application can be secured from possible attacks. In addition, insecure applications can also be exploited and results can be evaluated (Applebaum et al., 2021).

• Applebaum, S., Gaber, T. and Ahmed, A. (2021) “Signature-based and machine-learning-based web application firewalls: A short survey,” Procedia Computer Science , 189, pp. 359–367. Available at: https://doi.org/10.1016/j.procs.2021.05.105.
• Deepa, G. and Thilagam, P.S. (2016) “Securing web applications from injection and logic vulnerabilities: Approaches and challenges,” Information and Software Technology , 74, pp. 160–180. Available at: https://doi.org/10.1016/j.infsof.2016.02.005.
• Poston, H. (2020) “Mapping the owasp top Ten to the blockchain,” Procedia Computer Science , 177, pp. 613-617. Available at: https://doi.org/10.1016/j.procs.2020.10.087.
• Sonmez, F.Ö. (2019) “Security qualitative metrics for Open Web Application Security Project Compliance,” Procedia Computer Science , 151, pp. 998-1003. Available at: https://doi.org/10.1016/j.procs.2019.04.140.

Importance of configuring RADIUS (AAA) server on the network

User authentication has become significant nowadays as it guarantees that a legitimate user is accessing the network. But a problem is faced when a particular security control is to be identified for authentication and authorization. These controls can be categorized based on mandatory access controls, role-based access control, setting up captive portals and many more. Despite several other security controls, one of the most efficient ones is the RADIUS server (SONG et al., 2008). This server can authenticate users on the network to make sure network resources are accessible to only legal users. This research topic can be based on understanding the importance of RADIUS servers on the network which can also be demonstrated with the help of the Cisco Packet Tracer. A network can be designed and equipped with a RADIUS server to ensure only legal users can access network resources (WANG et al., 2009).

• To configure RADIUS (AAA) server on the network which can be able to authenticate users who try to access network resources.
• To simulate a network on a packet tracer simulation software and verify network connectivity.

RQ1: What are other alternatives to RADIUS (AAA) authentication servers for network security?

RQ2: What are the common and similarities between RADIUS and TACACS+ servers?

As a logical network is to be designed and configured, a quantitative research methodology can be followed. In this research coursework, a secure network design can be done using a packet tracer network simulator, including a RADIUS server along with the DMZ area. The configuration for the RADIUS server can be done to allow users to only access network resources by authenticating and authorizing (Nugroho et al., 2022).

• Nugroho, Y.S. et al. (2022) “Dataset of network simulator related-question posts in stack overflow,” Data in Brief , 41, p. 107942.
• SONG, M., WANG, L. and SONG, J.-de (2008) “A secure fast handover scheme based on AAA protocol in Mobile IPv6 Networks,” The Journal of China Universities of Posts and Telecommunications , 15, pp. 14-18.
• WANG, L. et al. (2009) “A novel congestion control model for interworking AAA in heterogeneous networks,” The Journal of China Universities of Posts and Telecommunications , 16, pp. 97-101.

Comparing mod security and pF sense firewall to block illegitimate traffic

Firewalls are primarily used for endpoint security due to their advanced features ranging from blocking to IDS capabilities and many more. It is sometimes challenging to identify which type of firewall is best and due to this reason, agencies end up setting up misconfigured firewalls (Tiwari et al., 2022). This further results in a cyber breach, destroying all business operations. The research can be emphasizing conducting a comparison between the two most widely used firewalls i.e. Mod Security and pF sense. Using a virtualized environment, both firewalls can be configured and tested concerning possible cyber-attacks (Lu & Yang, 2020).

• To use the local environment to set up Mod security and pF sense firewall with appropriate access control rules.
• To test both firewalls by executing distributed denial of service attacks from a remote location.
• To compare which type of firewall can provide improved performance and robust security.

RQ: How do Mod security and pF sense differ from each other in terms of features and performance?

The practical experimentation for both firewalls can be done using a virtualized environment where two different machines can be created. Hence, this research can be carried out using a quantitative research method . The first machine can have Mod security and the second machine can have pF sense configured. A new subnet can be created which can have these two machines. The third machine can be an attacking machine which can be used for testing firewalls. The results obtained can be then evaluated to identify which firewall is best for providing security (Uçtu et al., 2021).

• Lu, N. and Yang, Y. (2020) “Application of evolutionary algorithm in performance optimization of Embedded Network Firewall,” Microprocessors and Microsystems , 76, p. 103087.
• Tiwari, A., Papini, S. and Hemamalini, V. (2022) “An enhanced optimization of parallel firewalls filtering rules for scalable high-speed networks,” Materials Today: Proceedings , 62, pp. 4800-4805.
• Uçtu, G. et al. (2021) “A suggested testbed to evaluate multicast network and threat prevention performance of Next Generation Firewalls,” Future Generation Computer Systems , 124, pp. 56-67.

Conducting a comprehensive investigation on the PETYA malware

The main purpose of this research is to conduct a comprehensive investigation of the PETYA malware variant (McIntosh et al., 2021). PETYA often falls under the category of ransomware attacks which not only corrupt and encrypt files but can compromise confidential information easily. Along with PETYA, there are other variants also which lead to a security outage and organizations are not able to detect these variants due to a lack of proper detection capabilities (Singh & Singh, 2021). In this research, a comprehensive analysis has been done on PETYA malware to identify its working and severity level. Depending upon possible causes of infection of PETYA malware, some proactive techniques can also be discussed (Singh & Singh, 2021). A separation discussion can also be made on other malware variants, their features, and many more.

• The main objective of this research is to scrutinize the working of PETYA malware because a ransomware attack can impact the micro and macro environment of the organizations severely.
• The working of PETYA malware along with its source code can be reviewed to identify its structure and encryption type.
• To list all possible CVE IDs which are exploited by the PETYA malware.

RQ1: How dangerous is PETYA malware in comparison to other ransomware malware?

This research can be based on qualitative research methodology to evaluate the working of PETYA malware from various aspects, the methodology followed and what are its implications. The research can be initiated by evaluating the working of PETYA malware, how it is triggered, what encryption is applied and other factors. A sample source code can also be analyzed to learn more about how cryptography is used with ransomware (Abijah Roseline & Geetha, 2021).

• Abijah Roseline, S. and Geetha, S. (2021) “A comprehensive survey of tools and techniques mitigating computer and mobile malware attacks,” Computers & Electrical Engineering , 92, p. 107143.
• McIntosh, T. et al. (2021) “Enforcing situation-aware access control to build malware-resilient file systems,” Future Generation Computer Systems , 115, pp. 568-582.
• Singh, J. and Singh, J. (2021) “A survey on machine learning-based malware detection in executable files,” Journal of Systems Architecture , 112, p. 101861.

Setting up a Live streaming server on the cloud platform

Nowadays, various organizations require a live streaming server to stream content depending upon their business. However, due to a lack of proper hardware, organizations are likely to face high network congestion, slowness and other problems (Ji et al., 2023). Referring to the recent cases, it has been observed that setting up a streaming server on the local environment is not expected to perform better than a cloud-based streaming server configuration (Martins et al., 2019). This particular research topic can be based on setting up a live streaming server on the AWS or Azure cloud platform to make sure high network bandwidth is provided with decreased latency. The research gap analysis would be conducted to analyze the performance of live streaming servers on local and cloud environments in terms of network performance metrics (Bilal et al., 2018).

• To set up a live streaming server on the AWS or Azure cloud platform to provide live streaming services.
• To use load balancers alongside streaming servers to ensure the load is balanced and scalability is achieved.
• To use Wireshark software to test network performance during live streaming.

RQ1: Why are in-house streaming servers not able to provide improved performance in comparison to cloud-based servers?

RQ2: What additional services are provided by cloud service providers which help in maintaining network performance?

The implementation is expected to carry out on the AWS cloud platform with other AWS services i.e. load balancer, private subnet and many more (Efthymiopoulou et al., 2017). Hence, this research can be carried out using a quantitative research method. The configuration of ec2 instances can be done which can act as a streaming server for streaming media and games. For testing this project, the use of OBS studio can be done which can help in checking whether streaming is enabled or not. For network performance, Wireshark can be used for testing network performance (George et al., 2020).

• Bilal, KErbad, A. and Hefeeda, M. (2018) “QoE-aware distributed cloud-based live streaming of multi-sourced Multiview Videos,” Journal of Network and Computer Applications , 120, pp. 130-144.
• Efthymiopoulou, M. et al. (2017) “Robust control in cloud-assisted peer-to-peer live streaming systems,” Pervasive and Mobile Computing , 42, pp. 426-443.
• George, L.C. et al. (2020) “Usage visualization for the AWS services,” Procedia Computer Science , 176, pp. 3710–3717.
• Ji, X. et al. (2023) “Adaptive QoS-aware multipath congestion control for live streaming,” Computer Networks , 220, p. 109470.
• Martins, R. et al. (2019) “Iris: Secure reliable live-streaming with Opportunistic Mobile Edge Cloud offloading,” Future Generation Computer Systems , 101, pp. 272-292.

Significance of using OSINT framework for Network reconnaissance

Network reconnaissance is becoming important day by day when it comes to penetration testing. Almost all white hat hackers are dependent on the OSINT framework to start with network reconnaissance and footprinting when it comes to evaluating organizational infrastructure. On the other hand, cyber attackers are also using this technique to start fetching information about their target. Currently, there is no investigation carried out to identify how effective the OSINT framework is over traditional reconnaissance activities (Liu et al., 2022). This research is focused on using OSINT techniques to analyze victims using different sets of tools like Maltego, email analysis and many other techniques. The analysis can be based on fetching sensitive information about the target which can be used for conducting illegal activities (Abdullah, 2019).

• To use Maltego software to conduct network reconnaissance on the target by fetching sensitive information.
• To compare the OSINT framework with other techniques to analyze why it performs well.

RQ1: What is the significance of using the OSINT framework in conducting network reconnaissance?

RQ2: How can the OSINT framework be used by cyber hackers for conducting illegitimate activities?

The OSINT framework is easily accessible on its official website where different search options are given. Hence, this research can be carried out using a quantitative research method. Depending upon the selected target, each option can be selected and tools can be shortlisted for final implementation. Once the tools are shortlisted, they can be used to conduct network reconnaissance (González-Granadillo et al., 2021). For example, Maltego can be used as it is a powerful software to fetch information about the target.

• Abdullah, S.A. (2019) “Seui-64, bits an IPv6 addressing strategy to mitigate reconnaissance attacks,” Engineering Science and Technology , an International Journal, 22(2), pp. 667–672.
• Gonzalez-Granadillo, G. et al. (2021) “ETIP: An enriched threat intelligence platform for improving OSINT correlation, analysis, visualization and sharing capabilities,” Journal of Information Security and Applications , 58, p. 102715.
• Liu, W. et al. (2022) “A hybrid optimization framework for UAV Reconnaissance Mission Planning,” Computers & Industrial Engineering , 173, p. 108653.

Wired and wireless network hardening in cisco packet tracer

At present, network security has become essential and if enterprises are not paying attention to the security infrastructure, there are several chances for cyber breaches. To overcome all these issues, there is a need for setting up secure wired and wireless networks following different techniques such as filtered ports, firewalls, VLANs and other security mechanisms. For the practical part, the use of packet tracer software can be done to design and implement a highly secure network (Sun, 2022).

• To use packet tracer simulation software to set up secure wired and wireless networks.
• Use different hardening techniques, including access control rules, port filtering, enabling passwords and many more to assure only authorized users can access the network (Zhang et al., 2012).

RQ: Why is there a need for emphasizing wired and wireless network security?

Following the quantitative approach, the proposed research topic implementation can be performed in Cisco Packet Tracer simulation software. Several devices such as routers, switches, firewalls, wireless access points, hosts and workstations can be configured and interconnected using Cat 6 e cabling. For security, every device can be checked and secure design principles can be followed like access control rules, disabled open ports, passwords, encryption and many more (Smith & Hasan, 2020).

• Smith, J.D. and Hasan, M. (2020) “Quantitative approaches for the evaluation of Implementation Research Studies,” Psychiatry Research , 283, p. 112521.
• Sun, J. (2022) “Computer Network Security Technology and prevention strategy analysis,” Procedia Computer Science , 208, pp. 570–576.
• Zhang, YLiang, R. and Ma, H. (2012) “Teaching innovation in computer network course for undergraduate students with a packet tracer,” IERI Procedia , 2, pp. 504–510.

Different Preemptive ways to resist spear phishing attacks

When it comes to social engineering, phishing attacks are rising and are becoming one of the most common ethical issues as it is one of the easiest ways to trick victims into stealing information. This research topic is based on following different proactive techniques which would help in resisting spear phishing attacks (Xu et al., 2023). This can be achieved by using the Go-Phish filter on the machine which can automatically detect and alert users as soon as the phished URL is detected. It can be performed on the cloud platform where the apache2 server can be configured along with an anti-phishing filter to protect against phishing attacks (Yoo & Cho, 2022).

• To set up a virtual instance on the cloud platform with an apache2 server and anti-phishing software to detect possible phishing attacks.
• To research spear phishing and other types of phishing attacks that can be faced by victims (Al-Hamar et al., 2021).

RQ1: Are phishing attacks growing just like other cyber-attacks?

RQ2: How effective are anti-phishing filters in comparison to cyber awareness sessions?

The entire research can be conducted by adhering to quantitative research methodology which helps in justifying all research objectives and questions. The implementation of the anti-phishing filter can be done by creating a virtual instance on the cloud platform which can be configured with an anti-phishing filter. Along with this, some phishing attempts can also be performed to check whether the filter works or not (Siddiqui et al., 2022).

• Al-Hamar, Y. et al. (2021) “Enterprise credential spear-phishing attack detection,” Computers & Electrical Engineering , 94, p. 107363.
• Siddiqui, N. et al. (2022) “A comparative analysis of US and Indian laws against phishing attacks,” Materials Today: Proceedings , 49, pp. 3646–3649.
• Xu, T., Singh, K. and Rajivan, P. (2023) “Personalized persuasion: Quantifying susceptibility to information exploitation in spear-phishing attacks,” Applied Ergonomics , 108, p. 103908.
• Yoo, J. and Cho, Y. (2022) “ICSA: Intelligent chatbot security assistant using text-CNN and multi-phase real-time defense against SNS phishing attacks,” Expert Systems with Applications , 207, p. 117893.

Evaluating the effectiveness of distributed denial of service attacks

The given research topic is based on evaluating the effectiveness of distributed denial of service attacks on cloud and local environments. Hence, this research can be carried out using a quantitative research method. Cyber attackers find DDoS as one of the most dangerous technological exploitation when it comes to impacting network availability (Krishna Kishore et al., 2023). This research can revolve around scrutinizing the impact of DDoS attacks on the local environment and cloud environment. This can be done by executing DDoS attacks on a simulated environment using hoping or other software(s) to check where it has a higher magnitude (de Neira et al., 2023).

• To set up a server on the local and cloud environment to target using DDoS attacks for checking which had experienced slowness.
• To determine types of DDoS attack types, their magnitude and possible mitigation techniques.

RQ: Why do DDoS attacks have dynamic nature and how is it likely to sternly impact victims?

The experimentation for this research can be executed by creating a server on the local and cloud environment. Hence, this research can be carried out using a quantitative research method. These servers can be set up as web servers using apache 2 service. On the other hand, a Kali Linux machine can be configured with DDoS execution software. Each server can be targeted with DDoS attacks to check its effectiveness (Benlloch-Caballero et al., 2023).

• Benlloch-Caballero, P., Wang, Q. and Alcaraz Calero, J.M. (2023) “Distributed dual-layer autonomous closed loops for self-protection of 5G/6G IOT networks from distributed denial of service attacks,” Computer Networks , 222, p. 109526.
• de Neira, A.B., Kantarci, B. and Nogueira, M. (2023) “Distributed denial of service attack prediction: Challenges, open issues and opportunities,” Computer Networks , 222, p. 109553.
• Krishna Kishore, P., Ramamoorthy, S. and Rajavarman, V.N. (2023) “ARTP: Anomaly-based real time prevention of distributed denial of service attacks on the web using machine learning approach,” International Journal of Intelligent Networks , 4, pp. 38–45.

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Newest AI Research Topics

Research in every field is becoming more and more essential because of constant developments around the world. Similar is the case in the field of networking. This is the reason; students who are preparing to master the field of networking need to keep their knowledge of the current state of the art in the field up to date.

However, choosing the right research topic often becomes a tough task for students to carry out their research effectively. That being the case, this list contains 15 latest research topics in the field of networking. Whether you are a seasoned researcher or just starting, this list can provide you with ample inspiration and guidance to drive your research forward in the dynamic and evolving field of Networking.

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Computer Science

Computer networks.

Computer networks allow computers to communicate with one another, and provide the fundamental infrastructures supporting our modern society. Research on computer networks at Yale improves on essential network system properties such as efficiency, robustness, and programmability. The research spans all networking layers, including application-network integration (ANI); highly robust, flexible networking; software-defined networking (SDN) and programmable networking applications; and mobile networking.

Faculty working in this area:

Highlights in this area:.

• Our Promise
• Our Achievements
• Our Mission
• Proposal Writing
• System Development
• Paper Writing
• Paper Publish
• Synopsis Writing
• Thesis Writing
• Assignments
• Survey Paper
• Conference Paper
• Journal Paper
• Empirical Paper
• Journal Support
• Top 5 Interesting Computer Network Research Topics

A computer network is a network of diverse computing hardware linked through different communication technologies to share various resources . The communication links of the network can be either wired (cables) or wireless (radio waves / IR signals).

This page shows you useful information on Computer Network Research Topics, Projects with Source Code, Research Areas, Project Topics, and Tools!!!

Moreover, the network can be differentiated in the characteristics of constrained resources, network structure, requests history/demand, communication technologies , and more. However, it is flexible to share resources, and it has some technical challenges in real-time development. Here, we have given you the common services that we offer for overcoming network issues.

Our Approaches and Services to Solving Computer Network Issues

• Communication technologies selection
• Communication protocols in the network
• Performing both conceptual and practical research
• Study in qualitative and quantitative aspects
• Simulation Models
• Proofs / Theorems / Prototypes Testing / Use Cases
• Experiments for Various Simulation Scenarios
• Graphical / Tabular Representation of Results
• Developing New Techniques
• Thinking Novel Ideas
• Multiple Evaluations
• IEEE Standards Refinement

The layering approach in networking is used to divide the message into various chunks . Basically, there are seven layers in the networking process where each layer has unique responsibilities. All these layers co-operatively work together to transfer the message from one end to another (i.e., source to destination ). Now, we can see the available layers and their function in sequential order.

What are the layers of computer networks?

• Physical Layer – Used for offering mechanical / electrical needs, distribute the bits through transmission medium
• Data Link Layer – Used for offering hop-to-hop distribution, arrange the bits into frames
• Network Layer – Used for offering internetworking, pass over the packets between source and destination
• Transport Layer – Used for offering error correction and process-to-process distribution
• Session Layer – Used for launching and manage temporary sessions
• Presentation Layer – Used for data translation, compression, and encryption
• Application Layer – User for users to access the network resources / services

With an aim to support wireless communications, numerous different technologies have been launched.  Before selecting this technology, one should undergo deep study on which is more suitable for their computer network projects . Our research team will help you in both business/individual if you need the best guidance over that selection of innovative computer network research topics . Usually, we recommend the technology based on the requirement of your selected networking projects for final year students . For your information, here we have given you a few lists of communication technologies,

Communication Technologies in Computer Networks

• Wi-Fi and Wi-Max
• Radio Frequency Identification (RFID)
• Ultra-Wideband, Bluetooth and Zigbee
• Global Positioning System (GPS)
• Mobile Communication (4G, 5G, 5G Beyond and 6G)
• Radar and Satellite Communication
• 3GPP – LTE-M, EC-GSM and Narrowband-IoT
• Non-3GPP – Sigfox, Wieghtless and LoRa

In recent days, you can witness the gradual growth of computer networks in networking industries through many new developments. It includes so many technologies to portrait the actual networking industry’s performance. Here, we have given you some new networking technologies that are expected to master the next networking industries. .

Current Technologies in Computer Networks

• Artificial Intelligence (AI) and Cloud Repatriation
• Software Defined Networks
• Fog-Edge Computing
• UAV-Wireless Data Links
• Responsive Internet Architecture
• Multiple Cloud Services Technology
• Internet of Things and Inter-Networking
• Quantum and Serverless Computing
• 5G enabled Nano Technology
• Digital Twin and Machine Learning (ML)
• Digital Communications
• Network Communications Protocols

For illustrative purpose,  Digital Communication  work in accordance with enabling communication technologies, modulation, signal processing projects, channel modeling, and error control . Similarly,  Network Communications Protocols  take an in-charge of routing, resource allocation, data distribution, and medium access control.

Both technologies/areas have high capabilities in a different dimension of the networking process. And they are network designing, model construction, networking testing on testbeds, experimental analysis, and performance assessments. Our researchers have given you the currently ongoing of innovative computer network research topics mentioned below for your reference.

Latest Computer Network Research Topics

• Enhancing System Robustness in Decentralized Network
• Improving Network Quality of Services and Resource Usage
• SLA–Aware Resource Scheduling and Provisioning
• Network Architectures Design and Processes Management

How to develop computer networks projects with source code?

Basically, networking is a widespread process where network construction and deployment in the real world is a challenging job. So, the entire process is fragmented into different tasks where they are performed by a set of skilled networking engineers as follows,

• Software Developer – Design and build software applications
• Networking Experts – modeling the network structure
• Database Admin – Store and manage the network information
• Support Specialist – Analyze the connected entities of the system
• Programmer – Develop the suitable code works for achieving required performance

For research purposes, we can simulate the original network behavior and performance inappropriate simulation tools. Most importantly, it reduces the cost of real-time implementation and deployment.

Our developers have long-term experience in handling networking concepts . So, if you need the best Computer Networks Projects with Source Code support , you can approach our team. Below, we have also mentioned our qualified services in your project.

• We do both conceptual and practical study on recent research topics
• We design unique network simulation models, proof-of-concept prototypes and investigational testbeds
• We employ result guaranteed new technologies to upgrade and assess the existing standard of networking systems
• We develop own algorithm, protocols and hybrid techniques based on project requirements
• We precisely access the network performance using suitable network parameters for comparative study of different systems

Performance Analysis of Computer Networks

Now, we can see the performance measurement of the networking model. Through the sophisticated simulation tool / experimental testbeds , we can develop any kind of network scenario. Once the model is processed, then the efficiency of the model is verified by several metrics. Here, we have given you the metrics along with different modelling techniques .

• Medium Access Control – Retransmissions Delay, Collisions and Packet loss
• Network Protocols – Latency, Throughput and Packet loss
• RF Channel Models – Noise, Shadowing and Fading
• Spectrum (Sense and Observation) – Latency and Detection Trustworthiness
• Links and Transceivers – Block error ratio and Signal-to-Noise Ratio (SNR)

What is computer network simulation?

Simulate the network model based on the code of the software application . Through code, we can instruct the model to perform our project requirements. At the end of the simulation, it yields the overall performance and behaviour of the network in different dimensions and metrics. Further, it also measures the communication between the network entities.   

Purposes of source code

The source code of software has the main responsibility to create strong basements for designing and simulating the network model . Through the code only, the developers can make the smart work to tackle the problem in a simplified way. Effective code work is also a part of the contribution in research.

Since your code can help for learning or reusability (other application development), for your clarity, our developers will explain the implementation of research methodologies while delivering Computer Networks Projects with Source Code . Below, we have given you the different simulations of real-time network models,

How does computer network simulation works?

• Plan and design the model
• Develop the suitable hypothesis model
• Forecast the hypothetical aspects
• Perform comparative study to improve the hypothesis
• Simulate the developed model
• Based on experimental results, relate and enhance the hypothesis / model
• Do the experiments and get the results

So far, we have discussed computer networks, network layers, communication technologies, current research areas, computer network research topics, project simulation, and performance estimation . Now, our development team has a list of widely used network simulator tools.

Network simulators let the users modify the simulator operations for their project needs. Then the users can analyze the system performance and entity behavior under different circumstances. Further, it supports communication standards/protocols like TCP, WLAN, CR, Wi-Max, WSN , and many more. Here, we have given you the list of a few best result yielding simulators which is more apt for computer network simulations,

• Component-based network simulator with graphical user interface support
• Allow to design traffic models, decentralized system, protocols, computer networks, multi-processors, and many more
• Further, it enables animated and responsive simulation in modular environs
• Empower to design and deploy network application, device and infrastructure
• Develop predictive model, protocol and communication networks to interpret the network functionalities
• Support both real-time wired and wireless models
• Allow to create Finite State Automata for figuring out the network behavior
• Easy to design and develop traffic models
• Utilize QualNet analyzer to understand the obtained simulated outcome
• Enabled OS: Linux and Windows

For instance, NS3 (network Simulator 3) is detailed here.

NS3 is one of the best simulation tools to design and simulate networking projects . With the help of this tool, we can virtually design different nodes through Helper classes. By the by, it enables the installation of internet stacks, applications, devices, and many more. Further, we can insert parameters in the channel for performance evaluation in implementing computer network research topics . And let them produce traffic at runtime and pass the packets from source to destination through the selected route path. The other special features are given as follows,

• Create pcap file to get the core information of the transmitting packets. For instance: Source IP, Sequence no, Destination IP, etc. Employ Wireshark tool to view the pcap.
• Trace the network route for assess number of packets send/receive. For this purpose, the trace files will be produced automatically to monitor whole network.
• Easy to plot the graph from obtained simulation outcome in with assurance of preciseness.
• Network Animator is released to depict the realistic view of the network through animation. It shows you the real structure and how the data are transferred between nodes.

To sum up, we have sufficient technical professionals to support you in all the latest research areas of computer networks . In addition, our developments also give you the best assistance in project development from tool selection to result in an assessment. So, if you need our reliable service computer network research topics,  projects with source code then communicate our team.

MILESTONE 1: Research Proposal

Finalize journal (indexing).

Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.

Research Subject Selection

As a doctoral student, subject selection is a big problem. Phdservices.org has the team of world class experts who experience in assisting all subjects. When you decide to work in networking, we assign our experts in your specific area for assistance.

Research Topic Selection

We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other

Literature Survey Writing

To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)

Case Study Writing

After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.

Problem Statement

Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.

Writing Research Proposal

Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)

MILESTONE 2: System Development

Fix implementation plan.

We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.

Tools/Plan Approval

We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.

Pseudocode Description

Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.

Develop Proposal Idea

We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.

Comparison/Experiments

We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.

Graphs, Results, Analysis Table

We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.

Project Deliverables

For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.

MILESTONE 3: Paper Writing

Choosing right format.

We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.

Collecting Reliable Resources

Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.

Writing Rough Draft

We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources

Proofreading & Formatting

We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on

Native English Writing

We check the communication of a paper by rewriting with native English writers who accomplish their English literature in University of Oxford.

Scrutinizing Paper Quality

We examine the paper quality by top-experts who can easily fix the issues in journal paper writing and also confirm the level of journal paper (SCI, Scopus or Normal).

Plagiarism Checking

We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.

MILESTONE 4: Paper Publication

Finding apt journal.

We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.

Lay Paper to Submit

We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.

Paper Submission

We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.

Paper Status Tracking

We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.

Revising Paper Precisely

When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.

Get Accept & e-Proofing

We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.

Publishing Paper

Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link

MILESTONE 5: Thesis Writing

Identifying university format.

We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.

Gathering Adequate Resources

We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.

Writing Thesis (Preliminary)

We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.

Skimming & Reading

Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.

Fixing Crosscutting Issues

This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.

Organize Thesis Chapters

We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.

Writing Thesis (Final Version)

We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.

How PhDservices.org deal with significant issues ?

1. novel ideas.

Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.

2. Plagiarism-Free

To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.

3. Confidential Info

We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.

• Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
• Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.

CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.

4. Publication

Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.

5. No Duplication

After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.

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Related Pages

Topics in Computer and Network Security

Stanford cs 356, fall 2023.

CS 356 is graduate course that covers foundational work and current topics in computer and network security. The course consists of reading and discussing published research papers, presenting recent security work, and completing an original research project.

Course Information

Discussion: Mon/Wed 3:00–4:20 PM. Gates B12 . This course is largely based on in-person discussion rather than lecture. Attendance and participation is expected.

Instructor: Zakir Durumeric Office Hours: M/W 4:30–5:00 PM, or by appointment.

Course Assistant: Kimberly Ruth . Office hours by appointment.

Prerequisites: CS 356 is open to all graduate students as well as advanced undergraduate students. While the course has no official prerequisites, it requires a mature understanding of software systems and networks. Students are expected to have taken CS 155: Computer and Network Security or equivalent.

Topics and Readings

The tentative schedule and required readings for the class are below:

9/27  Introduction

Against security nihilism.

Blog Post. 2016. Chris Palmer.

Mining Your Ps and Qs: Detection of Widespread Weak Keys...

SEC '12 . N. Heninger, Z. Durumeric, E. Wustrow, J.A. Halderman.

How to Read a Paper

10/2  web privacy and security, the web never forgets: persistent tracking mechanisms in the....

CCS '14 . Gunes Acar, Christian Eubank, Steven Englehardt, Marc Juarez, Arvind Narayanan, Claudia Diaz.

Imperfect Forward Secrecy: How Diffie-Hellman Fails in Practice

CCS '15 . D. Adrian, K. Bhargavan, Z. Durumeric, P. Gaudry, M. Green, J.A. Halderman, N. Heninger, A. Springall, E. Thomé, L. Valenta, B. VanderSloot, E. Wustrow, S. Zanella-Beguelin, P. Zimmermann.

10/4  Usability

Alice in warningland: a large-scale field study of browser security.

SEC '13 . Devdatta Akhawe, Adrienne Porter Felt.

...no one can hack my mind”: Comparing Expert and Non-Expert Security Practices

SOUPS '15 . Iulia Ion, Rob Reeder, Sunny Consolvo.

10/9  Authentication and Phishing

The tangled web of password reuse.

NDSS '14 . Anupam Das, Joseph Bonneau, Matthew Caesar, Nikita Borisov, XiaoFeng Wang.

Detecting credential spearphishing in enterprise settings

SEC '17 . Grant Ho, Aashish Sharma, Mobin Javed, Vern Paxson, David Wagner.

10/11  Denial of Service

Inferring internet denial-of-service activity.

SEC '01 . David Moore, Geoffrey Voelker, Stefan Savage.

Understanding the Mirai Botnet

10/16  spam and ecrime, framing dependencies introduced by underground commoditization.

WEIS '15 . Kurt Thomas, Danny Huang, David Wang, Elie Bursztein, Chris Grier, Thomas Holt, Christopher Kruegel, Damon McCoy, Stefan Savage, Giovanni Vigna.

Spamalytics: An Empirical Analysis of Spam Marketing Conversion

CCS '08 . Chris Kanich, Christian Kreibich, Kirill Levchenko, Brandon Enright, Geoffrey Voelker, Vern Paxson, and Stefan Savage.

10/18  Software Attacks

Hacking blind s&p '14 . andrea bittau, adam belay, ali mashtizadeh, david mazieres, dan boneh. sok: eternal war in memory.

S&P '13 . Laszlo Szekeres, Mathias Payer, Tao Wei, Dawn Song.

10/23  Software Defenses

Native client: a sandbox for portable, untrusted x86 native code.

S&P '09 . Bennet Yee, David Sehr, Gregory Dardyk, J. Bradley Chen, Robert Muth, Tavis Ormandy, Shiki Okasaka, Neha Narula, Nicholas Fullagar.

Multiprogramming a 64 kB Computer Safely and Efficiently

SOSP '17 . Amit Levy, Bradford Campbell, Branden Ghena, Daniel B. Giffin, Pat Pannuto, Prabal Dutta, Philip Levis.

10/25  Malware and Supply Chain

Towards measuring supply chain attacks on package managers for interpreted languages.

NDSS '21 . Ruian Duan, Omar Alrawi, Ranjita Pai Kasturi, Ryan Elder, Brendan Saltaformaggio, Wenke Lee.

Before We Knew It: An Empirical Study of Zero-Day Attacks In The Real World

CCS '12 Leyla Bilge and Tudor Dumitraş.

10/30  Side Channels and Information Leakage

Timing analysis of keystrokes and timing attacks on ssh.

SEC '01 . Dawn Song, David Wagner, Xuqing Tia.

Spectre Attacks: Exploiting Speculative Execution

S&P '19 . P. Kocher, J. Horn, A. Fogh, D. Genkin, D. Gruss, W. Haas, M. Hamburg, M. Lipp, S. Mangard, T. Prescher, M. Schwarz, Y. Yarom.

11/1   Hardware

Stealthy dopant-level hardware trojans.

CHES '13 . Georg Becker, Francesco Regazzoni, Christof Paar, Wayne Burleson.

Comprehensive Experimental Analyses of Automotive Attack Surfaces

SEC '11 . Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, Stefan Savage.

W32.Stuxnet Dossier

Symantec Technical Report . Nicolas Falliere, Liam Murchu, Eric Chien.

11/8  Machine Learning

Towards evaluating the robustness of neural networks.

S&P '16 . Nicholas Carlini and David Wagner.

Outside the Closed World: On Using Machine Learning For Network Intrusion Detection

S&P '10 . Robin Sommer and Vern Paxson.

11/13  Vulnerable Populations / Security For Everyone

A stalker’s paradise: how intimate partner abusers exploit technology.

CHI '18 Diana Freed, Jackeline Palmer, Diana Minchala, Karen Levy, Thomas Ristenpart, Nicola Dell.

A11y Attacks: Exploiting Accessibility in Operating Systems

CCS '14 Yeongjin Jang, Chengyu Song, Simon Chung, Tielei Wang, Wenke Lee.

11/15  Privacy and Dark Patterns

Robust de-anonymization of large sparse datasets.

S&P '08 . Arvind Narayanan and Vitaly Shmatikov.

Dark patterns at scale: Findings from a crawl of 11K shopping websites

S&P '08 . Arunesh Mathur, Gunes Acar, Michael Friedman, Eli Lucherini, Jonathon Mayer, Marshini Chetty, Arvind Narayanan.

11/20   Thanksgiving Break

11/22   thanksgiving break, 11/27  surveillance and anonymity, keys under doormats.

MIT Technical Report '15. H. Abelson, R. Anderson, S. Bellovin, J. Benaloh, M. Blaze, W. Diffie, J. Gilmore, M. Green, S. Landau, P. Neumann, R. Rivest, J. Schiller, B. Schneier, M. Specter, D. Weitzner.

Tor: The Second-Generation Onion Router

SEC '04 . Roger Dingledine, Nick Mathewson, Paul Syverson.

11/29  Government Attacks and Disinformation

When governments hack opponents: a look at actors and technology.

SEC '14 . Bill Marczak, John Scott-Railton, Morgan Marquis-Boire, Vern Paxson.

Disinformation as Collaborative Work: Surfacing the Participatory Nature of Strategic Information Operations

CSCW '19 . Kate Starbird, Ahmer Arif, Tom Wilson.

12/4  Ethics and Problem Selection

The moral character of cryptographic work.

Phillip Rogaway.

Science, Security, and the Elusive Goal of Security as a Scientific Pursuit

S&P '17 . Cormac Herley and P.C. van Oorschot.

12/6   Final Presentations

No required reading. attendance mandatory., course structure.

This course is composed of three parts: reading and discussing foundational papers in every class, reading and presenting recent work for one class, and completing a group research project. Grading will be based on:

Readings and Discussion (30%)

We will read and discuss 1–2 papers for each class. Typically, these are formative works in an area of security. Students should come prepared to actively discuss assigned papers and to make substantive intellectual contributions. This means that you need to thoroughly read each paper ahead of time. Before each section, students will submit a short (400 word) summary and reaction for each each paper, as well as a proposal of one discussion question for class.

Students should submit the reading assignments through Gradescope by 2:30 pm on the day of each class . Paper responses should be completed individually without the assistance of LLMs (e.g., ChatGPT).

Grading will be based 20% on these written responses and 10% on in-class participation. We do not allow any late days for paper reactions, but students may skip two paper summaries and two lectures without penalty. We will take class attendance. However, participation grades are based on not only attendence, but active participation during class discussion.

Do not underestimate the amount of time required to properly read and process a research paper. Expect to spend several hours preparing for each section.

Topic Presentation (15%)

While reading formative papers helps to demonstrate how a subfield started, it oftentimes leaves us wondering how the area has evolved. To fill this gap, each student in the class will present one recent paper during the quarter topically relevant to that day's class. At the start of the quarter, students will have the opportunity to sign up for the topic/date that they want to present their paper. Stuents will have 12-15 minutes to present their paper.

Students are expected to do a literature search and to select a paper that was published in the last three years from a top-tier venue in security (e.g., IEEE Security and Privacy, USENIX Security, ACM Computer or Communication Security) or adjacent field (e.g., CHI, NSDI, ASPLOS, PLDI, etc.). Students should submit their papers to approval to the teaching staff a week prior to their presentation.

Course Project (55%)

Students will complete a quarter-long original research project in small groups (1–3 students) on a topic of their own choosing. Groups will present their work during the last two sections as well as submit a 6–10 page report, similar to the papers we read in the course.

• Project Proposal (5%). Project groups will meet with course staff to discuss their project during the third week of class and submit a one page project proposal. Written proposals are due on 10/16.
• Mid-Quarter Progress Report (5%). Submit a short (1–2 pages) progress report part way through the quarter. The report should indicate what has been accomplished, what work is remaining, obstacles the team has encountered, and any preliminary data or insights. Due 11/17.
• Class Presentation (10%). Each group will give a 10 minute class presentation during the last week of the course.
• Final Paper (35%). Groups will submit a final project report similar to the papers we read in the course. Papers should be 6–10 pages and use the USENIX LaTeX template . It may be helpful to read Writing Technical Articles if you haven't previously published any work in computer science. Due 12/8.

Students should submit all reports through Gradescope by 11:59PM on the day of each deadline.

In past offerings, well-executed projects have led to publications at top-tier security conferences and workshops. I'm happy to work with groups to publish their work.

This class has no final exam. Attendance on 12/6 is required.

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The 4 Most Important Networking Trends in 2020 and Beyond

In today’s digital world, networking technology is everything. It’s what makes the internet possible. It’s how businesses support sprawling multinational footprints. It’s even stitching together the appliances in our homes into one, smart, convenient fabric. For all of its importance, though, networking technology as a whole doesn’t tend to change much. For example, the internet itself runs on an iteration of a protocol that’s now 40 years old . Most of the developments in networking over that time have revolved around capacity and speed – not capability. As we move into the 2020s, though, there are a number of trends and technologies that are poised to create real change in the world of networking. Here are the four most important ones among them.

Next-Generation Wireless Technology

Without a doubt, the biggest networking technology development of the 2020s is one that’s going to be all around us very soon – the deployment of next-generation wireless networks. In the mobile networking arena, it’s the 5G standard that’s going to rewrite the rules of what’s possible for technology on-the-go. It’s these new cellular networks that are going to unleash the true potential of things like augmented reality and the IoT, as well as bringing us closer to a world filled with “ smart everything “. Indoors, the wireless revolution’s going to be led by Wi-Fi 6, the soon-to-go-mainstream standard that’s making its way into devices right now . It will not only triple the theoretical maximum throughput of its immediate predecessor, but will deliver better indoor signal penetration and support greater device density. In a world where every electrical device is gaining networking capabilities, the effects of Wi-Fi 6 can’t be overstated.

SD-WAN Becoming Common

Over the course of the last decade, cloud providers, SaaS and IaaS solutions, and mobile computing have come to challenge the traditional notion of boundary-driven networking. In the past, corporate and other private networks were animated by the concept of fenced-off access using firewalls and other location-centric controls. Now, as business computing assets have started to spread to remote data centers and mobile systems, a new concept has emerged – software-defined wide area networks (SD-WAN). This new paradigm in networking makes it possible to use a variety of network interconnections to create a private business LAN analog consisting of assets in the cloud, data centers, and branch offices that function like a single, seamless system. More than anything, this is made possible by continued improvements in WAN link bandwidth, which now allow geographically disbursed resources to move data at or near LAN speeds across vast distances. As the 2020s wear on, SD-WAN will come to replace traditional hardware-based onsite networking approaches.

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Encryption Everywhere

One of the glaring deficiencies in the internet’s infrastructure has always been a lack of built-in data security and privacy features. That reality is increasing the pressure on website operators, app developers, and networking vendors to take steps to make encryption a part of their platforms as a means of making up for the underlying insecurity of the networks they rely on. And even though the tech media would have you believe that users looking for ways to watch any country’s Netflix is what’s driving the increase in the use of consumer VPN services, it too is a result of the push toward encryption everywhere. In the networking world, the push for encryption everywhere hasn’t gone unnoticed. It has in fact spurred hardware developers toward making encryption at the network layer a standard feature of their hardware going forward. It’s become so important that estimates now believe that the network encryption market will be worth $5.8 billion by 2026 , almost doubling in size in little more than five years.

UCaaS Displacing VoIP, OTT Messaging

One of the biggest results of the explosion of networking technology over the past 40 years is that it has revolutionized the way that we communicate. The internet began by displacing switched telephone networks as the primary means of real-time communication around the globe, and in the years since has spawned myriad ways for people to talk to one another. The result has been a fragmented communications environment that networked systems often struggle to keep up with. Between traffic shaping and prioritization to support VoIP protocols and managing the traffic generated by innumerable over-the-top messaging platforms on computers, tablets, and smartphones, the lack of standardization has been tough to navigate. In the 2020s, though, a trend toward Unified Communications as a Service (UCaaS) solutions aims to reset the landscape and allow network hardware developers to move away from supporting multiple application-specific protocols and specifications.

Connecting the Future

Judging by these and other trends now reshaping the world of networking, the 2020s are going to see the technology landscape in that field change significantly. Many of the longest-held concepts and traditional infrastructures will be replaced with more modern ones that take the needs of next-generation connected devices into account. In many ways, the idea of data networks themselves will be updated to reflect the new reality of border-free, seamless connectivity that we have now come to expect. There’s sure to be plenty of hurdles to overcome and obstacles to the remaking of networking technology as we’ve known it, but one thing is clear: networking technology, which has remained mostly unchanged for much of its history, is due for disruption on several fronts – and it’s coming in more ways than anyone is likely to be able to foresee. It’s going to make it an interesting time to be a networking professional, and that part is certain.

About the Author

Andrej is a digital marketing expert, editor at  TechLoot , and a contributing writer for a variety of other technology-focused online publications. He has covered the intersection of marketing and technology for several years and is pursuing an ongoing mission to share his expertise with business leaders and marketing professionals everywhere.

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Latest Research Topics in Networking

                Latest Research Topics in Networking offer newfangled project topics for our students from bachelors and master degree (B.E/M.E/M.Phil/M.Tech/MCA) in the field of networking. Networking is the biggest and fastest emerging area, making it hinder students with new research into networking technologies. However, students spend more money on their networking projects. To help our students, we also offer the latest networking projects at optimum cost as far as we also provided 5000+ projects from 120+ countries students from all over the world.

We develop projects both in software and hardware, and in software, we use both open source and proprietary software. We also suggest our students always choose the latest topics because the latest ideas only give something innovative and colorful.

Think well…Always be a part of us… we pose your pioneering projects…..

Topics in Networking

                  Latest Research Topics in Networking covers possible list of topics intended also for under graduate and also post graduate students and scholars. In networking, security is one of the major issues in all types of wired and wireless networks, e.g., cloud networking. There is also a lot of research in the networking field because it is also a vast area that prefers among more users.  

Generally,  networking is defined as the computing devices that exchange information and share ideas among individuals or groups of devices or users using either wired or wireless connection.

Let us see the latest topics in networking,

• Secure and control sensitive data also in cloud environment (any)
• The future of IoT and also bio metrics
• Software defined networking
• Network security and also cryptography
• Network Function Virtualization
• Cognitive computing and also machine learning
• Micro services architecture
• Adaptive security
• Augmented and virtual reality
• Cloud networking
• Big data analytics in mobile networking
• Smart personal assistants
• Wearable’s in sensor networks
• Blockchain as a service (BaaS)
• Containerization (traditional virtualization)
• Resource allocation SDN
• Ultra dense wireless networks planning
• SDN + Virtualized radio Access Networks also with Fog computing
• Spectrum efficiency enhancement by LTE-U also with Wi-Fi
• 5G wireless backhaul networks
• SDN based Elastic optical networks also in cloud.
• Green mobile cloud network: Green cloudlet
• C-RAN: Cloud Radio Access Network
• 5G networks multicasting
• Traffic engineering also in software defined networks
• D2D communication in 5G
• Over Wi-Fi secure device-to-device communication
• Cloud Robotics
• 5G networks for visible light communication
• Big data in mobile cloud networks
• Prevention and also in detection of network attacks
• SDN network automation to 802.11ac and also in IPv6

Simulation Tools, Software’s and Programming Languages Used in Networking Projects

Programming languages:.

• R-programming
• Matlab and also in scilab

Simulation Software’s:

• Psimulator2
• Network simulators (NS2 and also in NS3)

Other Tools:

• Matlab Simulink
• Matlab tool boxes
• Word net tool
• And also in MADAMIRA tool

        We also provide a few collections of networking and simulation tools, software, and programming languages for developing projects in the networking and other areas. For each project, we give PPT, documents, video files, and also completed code implementation. Our additional support for our students is journal paper writing support, paper publication in high reputed journals, and thesis writing support.

A good beginning is often overt as happy endings…..

Let us come together for your immense research…… , related pages, services we offer.

Mathematical proof

Pseudo code

Conference Paper

Research Proposal

System Design

Literature Survey

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Paper Collection

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Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime

This paper aims to study the Countermeasures of big data security management in the prevention and control of computer network crime in the absence of relevant legislation and judicial practice. Starting from the concepts and definitions of computer crime and network crime, this paper puts forward the comparison matrix, investigation and statistics method and characteristic measure of computer crime. Through the methods of crime scene investigation, network investigation and network tracking, this paper studies the big data security management countermeasures in the prevention and control of computer network crime from the perspective of criminology. The experimental results show that the phenomenon of low age is serious, and the number of Teenagers Participating in network crime is on the rise. In all kinds of cases, criminals under the age of 35 account for more than 50%.

Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

The paper is devoted to analysis of modern directions of innovation-investment formation of intelligent computer networks that control the fast-moving technological processes of electricity supply. It is based on the conclusion that the problem of increasing the productivity of information exchange between information resources and consumers is dominant. A method for increasing the efficiency of information exchange is proposed as a search for the rational location of a new node and the organization of such a set of its connections among the whole set of nodes of the computer network, which provides a minimum average topological distance. Mathematical models of effective topological organization of connections in computer network of power consumption control at the level of traction substations, electric power distances and the railway in general are proposed.

AI-assisted Computer Network Operations testbed for Nature-Inspired Cyber Security based adaptive defense simulation and analysis

D-ram distribution: a popular energy-saving memory mining blockchain technology.

<p>Cryptocurrencies have been a massive surge since last decade leads to blockchain technology steps in epical milestone. Blockchain is a distributed database that is shared among the nodes of a computer network. Bitcoin, as a critical role in cryptocurrency system is known as a typical blockchain, maintaining a secure and decentralized record of transactions. The value and advantage of blockchain technology has been acknowledged by the public and applied in difference areas. The defect of blockchain technology is gradually revealed. Excessively wasting electricity have severely affect the utilities usage in many countries. Therefore, DRD Memory Mining is developed to solve the defects. This article illustrates the algorithm of DRD Memory Mining and how the memory consensus mechanism works.</p>

Computer Network Attack Detection Using Enhanced Clustering Technologies

The need for security means has brought from the fact of privacy of data especially after the communication revolution in the recent times. The advancement of data mining and machine learning technology has paved the road for establishment an efficient attack prediction paradigm for protecting of large scaled networks. In this project, computer network intrusions had been eliminated by using smart machine learning algorithm. Referring a big dataset named as KDD computer intrusion dataset which includes large number of connections that diagnosed with several types of attacks; the model is established for predicting the type of attack by learning through this data. Feed forward neural network model is outperformed over the other proposed clustering models in attack prediction accuracy.

Research and Implementation of Recommendation Algorithm in Current Computer Network

Computer network security protection strategy based on big data, exploration of constructing a new mode of evaluation of tcm surgery based on computer network platform, computer network security defense model.

Abstract With the rapid development of the Internet industry, hundreds of millions of online resources are also booming. In the information space with huge and complex resources, it is necessary to quickly help users find the resources they are interested in and save users time. At this stage, the content industry’s application of the recommendation model in the content distribution process has become the mainstream. The content recommendation model provides users with a highly efficient and highly satisfying reading experience, and solves the problem of information redundancy to a certain extent. Knowledge tag personalized dynamic recommendation technology is currently widely used in the field of e-commerce. The purpose of this article is to study the optimization of the knowledge tag personalized dynamic recommendation system based on artificial intelligence algorithms. This article first proposes a hybrid recommendation algorithm based on the comparison between content-based filtering and collaborative filtering algorithms. It mainly introduces user browsing behavior analysis and design, KNN-based item similarity algorithm design, and hybrid recommendation algorithm implementation. Finally, through algorithm simulation experiments, the effectiveness of the algorithm in this paper is verified, and the accuracy of the recommendation has been improved.

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Computer Networking Dissertation Topics

Published by Carmen Troy at January 5th, 2023 , Revised On August 16, 2023

A dissertation is an essential aspect of completing your degree program. Whether you are pursuing your master’s or are enrolled in a PhD program, you will not be awarded a degree without successfully submitting a thesis. To ensure that your thesis is submitted successfully without any hindrances, you should first get your topic and dissertation outline approved by your professor. When approving, supervisors focus on a lot of aspects. However, relevance, recency, and conciseness of your topic play a huge role in accepting or rejecting your topic.

As a computer networking student, you have a variety of networking topics to choose from. With the field evolving with each passing day, you must ensure that your thesis covers recent computer networking topics and explores a relevant problem or issue. To help you choose the right topic for your dissertation, here is a list of recent and relevant computer networking dissertation topics.

2022 Computer Networking Dissertation Topics

Topic 1: an evaluation of the network security during machine to machine communication in iot.

Research Aim: The research aims to evaluate the network security issues associated with M2M communication in IoT.

 Objectives:

• To evaluate the factors affecting the network security of IoT devices.
• To determine the methods for increasing data integrity in M2M communication against physical tampering and unauthorised monitoring.
• To evaluate the network security issues associated with M2M communication in IoT and offer suitable recommendations for improvement.

Topic 2: An analysis of the cybersecurity challenges in public clouds and appropriate intrusion detection mechanisms.

Research Aim: The aim of the research is to analyse the cybersecurity challenges in public clouds and the appropriate intrusion detection mechanisms.

Objectives:

• To analyse the types of cybersecurity threats impacting public clouds.
• To determine some of the competent intrusion detection techniques that can be used in cloud computing.
• To investigate the cybersecurity challenges in public clouds and offer mitigating with appropriate intrusion detection techniques.

Topic 3: Investigating the impact of SaaS cloud ERP on the scalability and cost-effectiveness of business.

Research Aim: The research aims to investigate the impact of SaaS cloud ERP on the scalability and cost-effectiveness of business.

• To analyse the benefits of SaaS ERP over traditional ERP.
• To evaluate the characteristics of SaaS architecture in cloud computing and determine its varieties.
• To investigate how SaaS cloud ERP impacts business scalability and cost-effectiveness.

Topic 4: An evaluation of the requirements of cloud repatriation and the challenges associated with it.

Research Aim: The research aims to evaluate the requirements of cloud repatriation in organisations and the associated challenges

• To analyse the key factors of cloud repatriation.
• To determine the challenges associated with cloud repatriation from public clouds.
• To evaluate the need for cloud repatriation in organisations and the associated complexities

Topic 5: An examination of the security mechanisms in decentralised networks and the ways of enhancing system robustness

Research Aim: The research aims to investigate the security mechanisms in decentralised networks and the ways of enhancing system robustness.

• To analyse the concept of decentralised networks and understand its difference from centralised networks.
• To analyse the security mechanisms in decentralised networks for determining how it offers visibility and traceability.
• To investigate the security mechanisms in decentralised networks and how system robustness can be increased for better privacy and security.

Computer Networking Dissertation Topics for 2021

Exploring the importance of computer networking in today’s era.

Research Aim: Even though computer networking has been practised for a few years now, its importance has increased immensely over the past two years. A few main reasons include the use of technology by almost every business and the aim to offer customers an easy and convenient shopping experience. The main aim of this research will be to explain the concepts of computer networking, its benefits, and its importance in the current era. The research will also discuss how computer networking has helped businesses and individuals perform their work and benefit from it. The research will then specifically state examples where computer networking has brought positive changes and helped people achieve what they want.

Wireless Networks in Business Settings – An Analysis

Research Aim: Wireless networks are crucial in computer networking. They help build networks seamlessly, and once the networks are set up on a wireless network, it becomes extremely easy for the business to perform its daily activities. This research will investigate all about wireless networks in a business setting. It will first introduce the various wireless networks that can be utilized by a business and will then talk about how these networks help companies build their workflow around it. The study will analyze different wireless networks used by businesses and will conclude how beneficial they are and how they are helping the business.

Understanding Virtual Private Networks – A Deep Analysis of their Challenges

Research Aim: Private virtual networks (VPN) are extremely common today. These are used by businesses and individuals alike. This research aims to understand how these networks operate and how they help businesses build strong and successful systems and address the challenges of VPNs. A lot of businesses do not adopt virtual private networks due to the challenges that they bring. This research will address these challenges in a way that will help businesses implement VPN successfully.

A Survey of the Application of Wireless Sensor Networks

Research Aim: Wireless sensor networks are self-configured, infrastructure-less wireless networks to pass data. These networks are now extremely popular amongst businesses because they can solve problems in various application domains and possess the capacity to change the way work is done. This research will investigate where wireless sensor networks are implemented, how they are being used, and how they are performing. The research will also investigate how businesses implement these systems and consider factors when utilizing these wireless sensor networks.

Computer Network Security Attacks – Systems and Methods to Respond

Research Aim: With the advent of technology today, computer networks are extremely prone to security attacks. A lot of networks have security systems in place. However, people with nefarious intent find one way to intrude and steal data/information. This research will address major security attacks that have impacted businesses and will aim to address this challenge. Various methods and systems will be highlighted to protect the computer networks. In addition to this, the research will also discuss various methods to respond to attacks and to keep the business network protected.

Preventing a Cyberattack – How Can you Build a Powerful Computer Network?

Research Aim: Cyberattacks are extremely common these days. No matter how powerful your network is, you might be a victim of phishing or hacking. The main aim of this research will be to outline how a powerful computer network can be built. Various methods to build a safe computer network that can keep data and information will be outlined, and the study will also highlight ways to prevent a cyberattack. In addition to this, the research will talk about the steps that should be taken to keep the computer network safe. The research will conclude with the best way and system to build a powerful and safe computer network.

Types of Computer Networks: A Comparison and Analysis

Research Aim: There are different types of computer networks, including LAN, WAN, PAN, MAN, CAN, SAN, etc. This research will discuss all the various types of computer networks to help readers understand how all these networks work. The study will then compare the different types of networks and analyze how each of them is implemented in different settings. The dissertation will also discuss the type of computer networks that businesses should use and how they can utilize them for their success. The study will then conclude which computer network is the best and how it can benefit when implemented.

Detecting Computer Network Attacks by Signatures and Fast Content Analysis

Research Aim: With technological advancement, today, many computer network attacks can be detected beforehand. While many techniques are utilized for detecting these attacks, the use of signatures and fast content analysis are the most popular ones. This research will explore these techniques in detail and help understand how they can detect a computer network attack and prevent it. The research will present different ways these techniques are utilised to detect an attack and help build powerful and safe computer networks. The research will then conclude how helpful these two techniques are and whether businesses should implement them.

Overview of Wireless Network Technologies and their Role in Healthcare

Research Aim: Wireless network technologies are utilised by several industries. Their uses and benefits have helped businesses resolve many business problems and assisted them in conducting their daily activities without any hindrance. This networking topic will help explore how wireless network technologies work and will talk about their benefits. This research aims to find out how wireless technologies help businesses carry out their daily routine tasks effortlessly. For this research, the focuas will be the healthcare industry. The study will investigate how wireless network technology has helped the healthcare sector and how it has benefited them to perform their daily tasks without much effort.

Setting up a Business Communication System over a Computer Network

Research Aim: Communication is an essential aspect of every business. Employees need to communicate effectively to keep the business going. In the absence of effective communication, businesses suffer a lot as the departments are not synchronized, and the operations are haphazard. This research will explore the different ways through which network technologies help conduct smooth and effective communication within organizations. This research will conclude how wireless networks have helped businesses build effective communication systems within their organization and how they have benefited from it. It will then conclude how businesses have improved and solved major business problems with the help of these systems.

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To find computer networking dissertation topics:

• Follow industry news and emerging technologies.
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• Review recent research papers.
• Explore IoT, cybersecurity, cloud computing.
• Consider real-world applications.
• Select a topic aligned with your expertise and career aspirations.

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Trends in Computer Networking Congestion Control: A Bibliometric Analysis

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• First Online: 20 December 2023
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• Richard Nana Nketsiah   ORCID: orcid.org/0000-0001-9354-6472 8 ,
• Israel Edem Agbehadji   ORCID: orcid.org/0000-0001-5718-4494 9 ,
• Richard C. Millham   ORCID: orcid.org/0000-0002-7970-9615 8 ,
• Samuel A. Iwarere   ORCID: orcid.org/0000-0001-8566-6773 10 &
• Emmanuel Freeman   ORCID: orcid.org/0000-0001-5708-0652 11  

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1935))

Included in the following conference series:

• International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability

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Computer networking congestion control is an important area of research. This study presents a bibliometric analysis of trends in computer networking congestion control research over the past decade. A total of 1,156 papers published in top-tier networking conferences and journals were analyzed using various bibliometric techniques. The results of the analysis show that the number of publications in this field has been steadily increasing over the years, with a significant rise in the number of publications related to machine learning-based congestion control techniques. The study identifies the most influential authors, institutions, and countries in this field. The analysis also identifies the most frequently cited papers, which provide valuable insights into the key concepts and developments in this field. This study provides a comprehensive overview of the trends in computer networking congestion control research and highlights the most promising research directions for future work. The outcome of the review highlights issues that are beneficial to reforming policy and informing network practitioners.

• computer networking
• congestion control
• bibliometric analysis
• research trends
• influential authors

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Nketsiah, R.N., Agbehadji, I.E., Millham, R.C., Iwarere, S.A., Freeman, E. (2024). Trends in Computer Networking Congestion Control: A Bibliometric Analysis. In: Guarda, T., Portela, F., Diaz-Nafria, J.M. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2023. Communications in Computer and Information Science, vol 1935. Springer, Cham. https://doi.org/10.1007/978-3-031-48858-0_38

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5 Computer Networking Trends for 2024 and Beyond

AI will continue to dominate the headlines

• Massachusetts Institute of Technology
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• The Wireless Connection
• Routers & Firewalls
• Network Hubs
• Installing & Upgrading
• Wi-Fi & Wireless

Computer network technology continues to develop in new and interesting ways. Here are five of the most important areas and trends to watch in the year ahead.

AI Will Continue to Expand

The ability of computer systems like Deep Blue to play chess at world champion levels helped legitimize artificial intelligence (AI) decades ago. Since then, both computer processing speed and the ability to exploit it have advanced tremendously.

One key barrier to more general-purpose artificial intelligence has been limitations on the ability of AI systems to communicate and interact with the outside world. With the much faster wireless speeds available today, it's possible to add sensors and network interfaces to AI systems that will enable impressive new applications.

Watch for applications in the healthcare and manufacturing industries. Also, look for new ways to establish AI trustworthiness and security.

IoT Gadgets Will Become Commonplace

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In 2024, an array of internet-connected products will compete for your attention. The Internet of Things (IoT) is another name for these "wired" items, and some categories will be especially interesting to watch:

• Wearables. You will likely see operational improvements, including processing speed and battery life. Watches will continue to focus on health and fitness tracking.
• Smart kitchens.  Keep an eye out for things like temperature-controlled smart mugs, microwaves you can command with your voice, blenders that know the exact amount of ingredients to add, and improved food recognition in your connected fridge.
• Smarter light bulbs . Be on the lookout for Wi-Fi or Bluetooth -enabled lighting systems and expect additional improvements in bulb quality, programming options, and ease of integration.
• Public applications. Besides home equipment, IoT functionality will appear more in stores, restaurants, and municipal locations.

Along with these innovations, expect accompanying security concerns. Many fear the privacy risks accompanying IoT devices, given their access to users' homes, activities, and personal data.

We'll See Even More Hype Over 5G

Even while 4G LTE mobile networks don’t reach many parts of the world (and won’t for years), the telecommunications industry has been hard at work developing the next-generation, 5G cellular communication technology.

5G is set to boost the speeds of mobile connections dramatically. But, exactly how fast consumers should expect these connections to go and when they can buy 5G devices might not be known until industry technical standards are set.  

However, like when 4G was initially being developed, companies aren’t waiting to advertise their 5G efforts. Researchers will continue to test prototype versions of what might become part of standard 5G networks. While reports from these tests will tout maximum data rates of many gigabits per second ( Gbps ), consumers should be just as interested in the promise of improved signal coverage with 5G.

Some vendors will undoubtedly start to retrofit this tech into their 4G installations, so look for “4.5G” and “pre-5G” products (and the confusing marketing claims that go along with these vaguely defined labels) to appear on the scene soon.

IPv6 Rollout Will Continue to Accelerate

Internet Protocol Version 6 (IPv6) will one day replace the traditional Internet Protocol addressing system we are familiar with, IPv4. The Google IPv6 Adoption page illustrates roughly how quickly the deployment of IPv6 is progressing. As shown, the pace of IPv6 rollout has continued to accelerate since 2013 but will require many more years to reach a complete replacement of IPv4. In 2024, expect to see IPv6 mentioned more often in the news, especially about business computer networks.

IPv6 benefits everyone either directly or indirectly. With an expanded number of available IP address space to accommodate almost unlimited devices, internet providers will find it easier to manage subscriber accounts. IPv6 also adds other improvements that boost the efficiency and security of TCP/IP traffic management on the internet. Those who administer home networks must learn a new style of IP address notation.

SD-WAN Will Become the Norm

ID 36177459 © Wilm Ihlenfeld | Dreamstime.com 

A software-defined wide-area network (SD-WAN) is a networking technology that offers greater flexibility for companies than previous WAN systems. While a traditional WAN enables businesses with multiple locations to give employees access to data, files, and applications at the home office via multiprotocol label switching (MPLS), SD-WAN takes that process a step further, using Long Term Evolution (LTE) and broadband internet services to provide access. SD-WAN adds cloud-based applications, allowing employees to gain remote entry to enterprise-wide programs like Salesforce, Amazon Web Services, and Microsoft 365.

The technology is still relatively new, so customers and providers have been experimenting to understand how best to use this innovation to increase productivity, enhance business agility, and improve security. But now that it's been available for a few years, SD-WAN will likely become the new norm.

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