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Analysis of possible adaptation of the general pattern of immune system within the systems for preventing intrusions

Simavoryan Simon Zhorzhevich

PhD in Technical Science

Associate Professor, Department of Applied Mathematics and Computer Science, Sochi State University

354003, Russia, Krasnodarskii krai, g. Sochi, ul. Plastunskaya, 94

simsim@mail.ru
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Simonyan Arsen Rafikovich

PhD in Physics and Mathematics

Associate Professor, Department of Applied Mathematics and Computer Science, Sochi State University

354000, Russia, g. Sochi, ul. Ostrovskogo, 37, kv. 91

oppm@mail.ru
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Popov Georgii Aleksandrovich

Doctor of Technical Science

Head of the Department of Information Security, Astrakhan State Technical University

414025, Russia, Astrakhanskaya oblast', g. Astrakhan', ul. Tatishcheva, 16

popov@astu.org
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Ulitina Elena Ivanovna

PhD in Physics and Mathematics

Associate Professor, Department of Applied Mathematics and Computer Science, Sochi State University

354003, Russia, Krasnodarskii krai, g. Sochi, ul. Plastunskaya, 94

ulitina@rambler.ru
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DOI:

10.25136/2409-7543.2020.4.33736

Review date:

24-08-2020


Publish date:

13-11-2020


Abstract.

The subject of this research is the analysis of possible implementation of the mechanisms of functionality of human immune system applicable to information security systems in automated data processing systems. The objects of this research are the human immune system, information security systems, and automated data processing systems. The research is conducted on the basis of achievements of systemic-conceptual approach towards information protection in automated data processing systems, developed within the framework of the project sponsored by the Russian Foundation for Basic Research No. 19-01-00383 on creation of intelligent information protection systems based on the neural network intrusion detection systems and  the mechanisms of artificial immune systems. The article reviews similarity and difference between human immune system and information security systems. Special attention is given to identification of peculiarities of functionality of the mechanisms on detection of harmful intrusions into these systems respectively. Methodological research on the topic are carried out using the achievements in the area of creation of neural network intrusion detection system, built on the basis of artificial immune mechanisms that function similar to human immune system. The main result consists in the conclusion that adaptive information security systems containing the means and mechanisms of protection and built by analogy with the human immune system, may provide successful and effective protection of information in automated data processing systems. The specificity and importance of this conclusion is substantiated by the fact that it can be implemented despite the absence of full analogy between human immune system and information security system; moreover, multiple mechanism of protection implemented in human immune system are absent in the information security system, or the other way around.

Keywords: adaptable systems, neural systems, information protection strategies, intrusion detection systems, information security support, information protection, intelligent systems, immune system, attack detection system, software information protection
This article written in Russian. You can find full text of article in Russian here .

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