Increasing the Reliability of Computer Network Protection System by Analyzing its Controllability Models

One of the main tasks in organizing the protection of computer networks from cyber attacks is to ensure the management of the protection system. Management includes obtaining information about the state of the protection system, analyzing the information received, developing and executing a solution...

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Bibliographic Details
Published in2021 International Russian Automation Conference (RusAutoCon) pp. 537 - 542
Main Authors Lauta, Oleg, Saenko, Igor, Kotenko, Igor
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.09.2021
Subjects
Adaptation models
Computational modeling
computer network
Computer networks
control system
Controllability
information exchange
Mathematical model
protection system
Reliability
Training
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Summary:One of the main tasks in organizing the protection of computer networks from cyber attacks is to ensure the management of the protection system. Management includes obtaining information about the state of the protection system, analyzing the information received, developing and executing a solution, as well as implementing control actions on all network protective components. The paper discusses possible variants of models of the control system for the computer network protection system in the context of cyber attacks. Depending on the peculiarities for functioning of the control system of the computer network protection system, one or another controllability function can be selected. The parameters of the model should be determined in advance, so that the model adequately describes the activities of the control system of this class in solving problems in conditions of cyber attacks. The indicator for the effectiveness of the control system of the protection system is substantiated - the probability of an error-free and timely decision-making in time, which determines the cyber resilience of the network as a whole. The adequacy of the developed models has been experimentally confirmed.
DOI:10.1109/RusAutoCon52004.2021.9537393