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

被引：1

作者：

Kotenko, Igor ^{[1
]}

Ageev, Sergey ^{[1
]}

Saenko, Igor ^{[1
]}

机构：

[1] Russian Acad Sci, St Petersburg Inst Informat & Automat, 14 Th Liniya,39, St Petersburg 199178, Russia

来源：

11TH INTERNATIONAL CONFERENCE ON SECURITY OF INFORMATION AND NETWORKS (SIN 2018) | 2018年

关键词：

cyber-physical systems; network traffic analysis; security risk analysis; fuzzy logical inference; anomaly detection; COOPERATIVE DEFENSE; SIMULATION; ATTACKS;

D O I：

10.1145/3264437.3264487

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：4

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