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Attack Detection Based on Encoding-Decoding Approach for Cyber-Physical Systems
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DOI：10.1109/TSMC.2023.3283414.png)
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摘要
En 中文
This article is concerned with the attack detection issue for a class of nonlinear cyber-physical systems (CPSs) with unknown-but-bounded (UBB) noises. The nonlinear system is linearized by utilizing first-order Taylor expansion with Lagrangian remainder, and an observer based on zonotopic sets is proposed to estimate the system states. Then, a novel encoding-decoding strategy (EDS) is provided to improve the attack detection rate by selecting appropriate parameters. In order to alleviate the impact introduced by malicious attacks, a countermeasure is taken into account when an attack is detected by the abnormal detector. Finally, the hardware-in-the-loop (HIL) simulation is provided to illustrate the effectiveness of the proposed results.
Keyword:
Cyber attacks
cyber-physical systems (CPSs)
nonlinear system
unknown-but-bounded (UBB) noises
期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
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