Detection of Covert Cyber-Attacks in Interconnected Systems: A Distributed Model-Based Approach

被引:59
|
作者
Barboni, Angelo [1 ]
Rezaee, Hamed [1 ]
Boem, Francesca [2 ]
Parisini, Thomas [1 ,3 ,4 ]
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
[3] Univ Trieste, Dept Engn & Architecture, I-34127 Trieste, Italy
[4] Univ Cyprus, KIOS Res & Innovat Ctr Excellence, CY-1678 Nicosia, Cyprus
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
Observers; Symmetric matrices; Silicon; Interconnected systems; Monitoring; Large-scale systems; Benchmark testing; Attack detection; covert attack; cyber-physical systems; large-scale systems; NETWORKED CONTROL-SYSTEMS; FAULT-DETECTION; NONLINEAR-SYSTEMS; SECURE CONTROL; DESIGN;
D O I
10.1109/TAC.2020.2998765
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distributed detection of covert attacks for linear large-scale interconnected systems is addressed in this article. Existing results consider the problem in centralized settings. This article focuses on large-scale systems subject to bounded process and measurement disturbances, where a single subsystem is under a covert attack. A detection methodology is proposed, where each subsystem can detect the presence of covert attacks in neighboring subsystems in a distributed manner. The detection strategy is based on the design of two model-based observers for each subsystem using only local information. An extensive detectability analysis is provided and simulation results on a power network benchmark are given, showing the effectiveness of the proposed methodology for the detection of covert cyber-attacks.
引用
收藏
页码:3728 / 3741
页数:14
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