Ensuring SDN Resilience under the Influence of Cyber Attacks: Combining Methods of Topological Transformation of Stochastic Networks, Markov Processes, and Neural Networks

Ensuring SDN Resilience under the Influence of Cyber Attacks: Combining Methods of Topological Transformation of Stochastic Networks, Markov Processes, and Neural Networks

The article proposes an approach to ensuring the functioning of Software-Defined Networks (SDN) in cyber attack conditions based on the analytical modeling of cyber attacks using the method of topological transformation of stochastic networks. Unlike other well-known approaches, the proposed approac...

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Bibliographic Details
Main Authors: Igor Kotenko, Igor Saenko, Andrey Privalov, Oleg Lauta
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Big Data and Cognitive Computing
Subjects:
cyber attack
resilience
software-defined network
Markov process
correct action coefficient
method of topological transformation of stochastic networks
Online Access:https://www.mdpi.com/2504-2289/7/2/66

Internet

https://www.mdpi.com/2504-2289/7/2/66

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