Visible to the public Implementation of Intelligent Agents for Network Traffic and Security Risk Analysis in Cyber-Physical Systems

TitleImplementation of Intelligent Agents for Network Traffic and Security Risk Analysis in Cyber-Physical Systems
Publication TypeConference Paper
Year of Publication2018
AuthorsKotenko, Igor, Ageev, Sergey, Saenko, Igor
Conference NameProceedings of the 11th International Conference on Security of Information and Networks
Date PublishedSeptember 2018
PublisherACM
ISBN Number978-1-4503-6608-3
Keywordsanomaly detection, Cyber-physical systems, Fuzzy logic, fuzzy logical inference, Metrics, network traffic analysis, pubcrawl, resilience, Resiliency, security, security risk analysis
Abstract

The paper offers an approach for implementation of intelligent agents intended for network traffic and security risk analysis in cyber-physical systems. The agents are based on the algorithm of pseudo-gradient adaptive anomaly detection and fuzzy logical inference. The suggested algorithm operates in real time. The fuzzy logical inference is used for regulation of algorithm parameters. The variants of the implementation are proposed. The experimental assessment of the approach confirms its high speed and adequate accuracy for network traffic analysis.

URLhttps://dl.acm.org/doi/10.1145/3264437.3264487
DOI10.1145/3264437.3264487
Citation Keykotenko_implementation_2018