Artificial Immunization in Hierarchical and Peer-to-Peer Networks to Protect Against Cyber Threats

IF 0.5 Q4 AUTOMATION & CONTROL SYSTEMS
E. Yu. Pavlenko, N. N. Samarin
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引用次数: 0

Abstract

Immunization approaches for cyber-physical systems based on hierarchical and peer-to-peer network topologies are described. A systematic analysis of existing immunization methods based on graph theory is carried out, together with theoretical formalization and experimentation. The approach demonstrates sufficient effectiveness of artificial immunization using global strategies for cyber-physical systems based on a hierarchical network infrastructure.

Abstract Image

分层和点对点网络中的人工免疫以抵御网络威胁
描述了基于分层和点对点网络拓扑的网络物理系统免疫方法。对现有的基于图论的免疫方法进行了系统的分析,并进行了理论形式化和实验。该方法证明了基于分层网络基础设施的网络物理系统使用全局策略的人工免疫的充分有效性。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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