RUS  ENG
Full version
JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2017 Issue 55, Pages 160–184 (Mi trspy981)

This article is cited in 11 papers

Information Security

Assessment of cyber-resilience of computer networks based on simulation of cyber attacks by the stochastic networks conversion method

I. V. Kotenkoa, I. B. Saenkoa, M. A. Kotsynyakb, O. S. Lautab

a St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS)
b S.M. Budjonny Military Academy of the Signal Corps

Abstract: The paper offers an approach for assessment of cyber-resilience of computer networks based on analytical simulation of computer attacks using a stochastic networks conversion method. The concept of cyber-resilience of computer networks is justified. The mathematical foundations of its assessment, allowing to calculate cyber-resilience indices by means of analytical expressions, are considered. The coefficient of serviceability on cyber-resilience is offered to be used as the key such indicator. The considered approach assumes the creation of analytical models of cyber-attacks. The method of the stochastic networks conversion is applied to create analytical models of cyber-attacks. The time distribution function and average time to implement cyber-attacks are the simulation results. These estimates are used then to search cyber-resilience indices. The experimental results of analytical simulation which showed that the offered approach has rather high accuracy and stability of the received solutions are given.

Keywords: cyber security; cyber-attacks; attack modeling; cyber-resilience; stochastic network; Laplace transform.

UDC: 004.056.5

DOI: 10.15622/sp.55.7



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024