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Title: computer viruses: the abstract theory revisited.

Abstract: Identifying new viral threats, and developing long term defences against current and future computer viruses, requires an understanding of their behaviour, structure and capabilities. This paper aims to advance this understanding by further developing the abstract theory of computer viruses. A method of providing abstract definitions for classes of viruses is presented in this paper, which addresses inadequacies of previous techniques. Formal definitions for some classes of viruses are then provided, which correspond to existing informal definitions. To relate the abstract theory to the real world, the connection between the abstract definitions and concrete virus implementations is examined. The use of the proposed method in studying the fundamental properties of computer viruses is discussed.

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Please note you do not have access to teaching notes, an introduction to computer viruses: problems and solutions.

Library Hi Tech News

ISSN : 0741-9058

Article publication date: 14 September 2012

The purpose of this paper is to discuss various types of computer viruses, along with their characteristics, working, effects on the computer systems and to suggest measures for detecting the virus infection in a computer system and to elaborate means of prevention.

Design/methodology/approach

The author undertook an extensive study and review of the literature available online and on relevant web sites on the present topic.

A large number of viruses were found during the study, which are causing serious damages to computer systems. The author suggests ways to detect and prevent the different computer viruses.

Research limitations/implications

The research is based on and limited to the study of the relevant literature available on different relevant web sites.

Practical implications

The research will benefit business organizations, business houses, educational institutions and libraries working in fully computerized environments, in detection of viruses and preventing infection of their computer systems.

Social implications

The society will also benefit by attaining knowledge about the different types of computer viruses and the measures of prevention of infection.

Originality/value

There are a number of studies and articles available on the topic but almost all of them appear to be incomplete in the sense that either they discuss only a limited number of known viruses or suggest only limited ways of prevention. The paper has made an attempt to discuss almost all the computer viruses and every possible way of prevention of infection from them.

• Computer viruses
• Data security
• Computer security
• Information security
• Security measures

Khan, I. (2012), "An introduction to computer viruses: problems and solutions", Library Hi Tech News , Vol. 29 No. 7, pp. 8-12. https://doi.org/10.1108/07419051211280036

Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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Simulating Bluetooth virus propagation on the real map via infectious attenuation algorithm and discrete dynamical system

• Published: 25 June 2024

Cite this article

• Qingyi Zhu 1 , 2 , 3   na1 ,
• Wentao Wan 2   na1 ,
• Chengquan Gan 1   na1 ,
• Ziqi Fan 1 &
• Lu-Xing Yang 4  

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In recent years, mobile smart devices have gained popularity globally due to their convenience and efficiency. However, this popularity has also attracted the attention of virus creators, resulting in a significant cost to users. Current research on virus propagation primarily focuses on developing anti-virus software and macroscopic modeling. Software development often lags behind and only begins when viruses become a significant threat. In contrast, macroscopic modeling frequently deviates from reality as real networks do not completely conform to the characteristics of scale-free or small-world networks. Furthermore, special factors such as device mobility and signal attenuation must be considered when studying Bluetooth-transmitted viruses. Traditional research methods have shown limited performance in this field. To address these issues, this paper proposes a method that describes the propagation behavior of Bluetooth viruses in smart devices by utilizing an Infectious Attenuation Algorithm (IAA) and real maps. This method incorporates population density, map contours, and user security awareness to construct a unique discrete system. More importantly, we integrate this system into the map of Deyuan Street in Chengdu City and create a visualization system using the Simulation of Urban Mobility (SUMO) simulation software. In this system, the proposed IAA simulates the decay of virus infectivity based on the distance between devices and the attenuation of signal power between them. Our research approach considers the two core elements of infectivity attenuation and maps, making it more realistic and overcoming the lag in software development. Additionally, the introduction of SUMO for visualization simulation enhances the practical significance of our experiments. Finally, we propose feasible prevention strategies based on comparative experiments, data analysis, and theoretical analysis.

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National Natural Science Foundation of China (No. 61903056), and the Guangxi Key Research and Development Program (No. AB24010317).

Author information

Qingyi Zhu, Wentao Wan and Chengquan Gan contributed equally to this work.

Authors and Affiliations

School of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

Qingyi Zhu, Chengquan Gan & Ziqi Fan

School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

Qingyi Zhu & Wentao Wan

Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education, Chongqing, 400065, China

School of Information Technology, Deakin University, Melbourne, Victoria, 3125, Australia

Lu-Xing Yang

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Conceptualization: all authors. Writing-original draft: QZ and XL. writing-review & editing: all authors.

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Correspondence to Chengquan Gan .

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Zhu, Q., Wan, W., Gan, C. et al. Simulating Bluetooth virus propagation on the real map via infectious attenuation algorithm and discrete dynamical system. Iran J Comput Sci (2024). https://doi.org/10.1007/s42044-024-00198-5

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Published : 25 June 2024

DOI : https://doi.org/10.1007/s42044-024-00198-5

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Detection of Virus Using Artificial Intelligence and Machine Learning Concepts

Proceedings of the International Conference on Recent Advances in Computational Techniques (IC-RACT) 2020

5 Pages Posted: 9 Oct 2020

Sai Harshavardhan A.V.N

Amity University, Mumbai

Akash Ranjan

Artificial Intelligence, Department of Computer Engineering, Central Government University - Mizoram; Big Data Analytics , CDAC Pune; Department of Computer Science and Engineering, Amity University Mumbai

Date Written: June 26, 2020

This paper is devoted, to study of recent viruses, detection and prediction of viruses using AI and Machine Learning Techniques. Recently in December 2019 a new virus was discovered named coronavirus. So, to detect this type of viruses in the future and present, we can use AI and Machine Learning concepts for the detection of viruses. Artificial intelligence (AI) research is growing rapidly within the medicine research. In 2016, Artificial Intelligence projects on health care attracted more investment than Artificial Intelligence projects within any other sector of the global economy. It is well, known that in feature we may overcome the different types of new viruses across the city. The detection of the viruses is done with the help of the MS Kinect sensor. This sensor analyses human breathing, and if that person is not able to breathe properly then that person must be suffering from coughing, sneezing, etc. This particular sensor will be fixed at the public places if it identifies the person who is suffering from breathing problems, the person will be sanitized or will be provided with the mask or if it is a serious condition that person will be admitted to the hospital for the treatment. So that the spreading of virus decreases at public places. This sensor can also be used for checking the heartbeat pluses of the humans and animals also. Animals should also be monitoring with their health conditions because there are chances of spreading viruses from animals also.

Keywords: Artificial Intelligence, Machine Learning, MS Kinect sensor, Thermal Scanners Infra-red rays, ’Time of flight’ technology

Suggested Citation: Suggested Citation

Sai Harshavardhan A.V.N (Contact Author)

Amity university, mumbai ( email ), artificial intelligence, department of computer engineering, central government university - mizoram ( email ).

Aizawl, MI Mizoram 796004 India

HOME PAGE: http://mzu.edu.in/

Big Data Analytics , CDAC Pune ( email )

Pune, MA 400049 India

HOME PAGE: http://cdac.in/index.aspx

Department of Computer Science and Engineering, Amity University Mumbai ( email )

Mumbai, MA 410206 India

HOME PAGE: http://www.amity.edu/mumbai/

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