A Controllable and Adaptable Computer Virus Detection Model

Authors

  • Abdumuminov Abdurafiq Abdurashidovich Republican center for management of telecommunications networks of Uzbekistan. SUE
  • Ibragimov Jalaliddin Obidjon o'g'li Teacher of the Department, “Systematic and Practical Programming”, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, UZBEKISTAN
  • Shoraimov Khusanboy Uktamboyevich Teacher of the Department, “Systematic and Practical Programming”, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi, UZBEKISTAN

Keywords:

Artificial Immune, detector, controllable adaptive, virus detection

Abstract

This paper presents a controllable and adaptable computer virus detection model based on immune system, improves the immune mechanism of the model by introducing the thought of variable detector radius, and achieves the detector radius be set and adjusted automatically. The virus detection model has some effects on solving the conflict between the number of detectors and the scope of detection. Thus, it enables the system to have better dynamic and self-adaptability

References

Stephanie Forrest, Alan S.Perelson, Lawrence Allen, Rajesh Cherukuri. Self-Nonself Discrimination in a Computer[C]. In Proceedings of IEEE Symposium on Computer Security and Privacy, 2019

Kephart J O. Biological inspired defenses against computer viruses[A]. Proceeding of 14th Joint Conference on Artificial Intelligence[C]. Los Alamitos: IEEE Computer Society Press,2019.

J.O. Kephart, Gregory B. Sorkin, Morton Swimmer, and Steve R. White. Blueprint for a Computer Immune System[C]. Proceedings of the 1997 International Virus Bulletin Conference, San Francisco, California, October, 2016.

De Castro L N.& Von Zuben F J.Artificial Immune systems Part -Basic Theory and application[J].Technical Report-RT DCA 2017

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Published

2022-11-07

Issue

Vol. 14 (2022): TJET

Section

Articles

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How to Cite

A Controllable and Adaptable Computer Virus Detection Model. (2022). Texas Journal of Engineering and Technology, 14, 1-3. https://zienjournals.com/index.php/tjet/article/view/2676