The Development of a Model of the Formation of Cybersecurity Outlines Based on Multi Criteria Optimization and Game Theory

Lakhno, Valeriy; Kasatkin, Dmytro; Blozva, Andrii; Kozlovskyi, Valerii; Balanyuk, Yuriy; Boiko, Yuliia

doi:10.1007/978-3-030-63319-6_2

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“…To develop a method for checking the vulnerabilities of networks of enterprises and institutions using Bernstein transformations, the necessary experiments were carried out [21][22][23][24][25][26][27].…”

Section: Materials and Methods Of Researchmentioning

confidence: 99%

Development of a method for checking vulnerabilities of a corporate network using Bernstein transformations

Kyrychok

Лаптєв

Lisnevskyi

et al. 2022

EEJET

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One of the leading areas of cybersecurity of communication networks is considered – the introduction of preventive mechanisms, among which the most promising are the methods of active security analysis. These methods allow, in addition to timely detection of vulnerabilities of the target system (analyzed system), to confirm the possibility of their implementation, that is, to validate vulnerabilities by simulating the real actions of a potential attacker. The urgent need to validate vulnerabilities out of the many identified is caused by the fact that some of them can only be theoretical, while others are exploited using malicious scripts (exploits). At the same time, the process of validating vulnerabilities is practically not studied. That is why the work carried out an experimental study of the functioning of modern tools for exploiting vulnerabilities. Based on the observations, general quantitative characteristics of the vulnerability validation process were identified. A mathematical model for the analysis of the above characteristics based on Bernstein polynomials has been developed. It is the polynomial representation of the procedure for confirming the possibility of implementing the identified vulnerabilities that makes it possible to describe the dynamics of this process, taking into account the complex and volatile nature of the environment. Analytical dependencies are obtained for the number of cases of successful and negative confirmation of vulnerabilities. In particular, negative validation cases include simply failed attempts to validate vulnerabilities, as well as attempts that resulted in critical errors on the target system during the rational cycle of validating the identified vulnerabilities. The proposed dependencies make it possible to construct the probability distribution laws for the above characteristics of the vulnerability testing process.

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