Attack Detection and Distributed Filtering for State-Saturated Systems Under Deception Attack

• Published in: IEEE transactions on control of network systems Vol. 8; no. 4; pp. 1918 - 1929
• Main Authors: Li, Li, Yang, Huan, Xia, Yuanqing, Zhu, Cui
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cyberattack; Deception attack; distributed filtering; Filtration; State estimation; state-saturated system; stochastic nonlinearity; Stochastic processes; Wireless sensor networks
• ISSN: 2325-5870; 2372-2533
• DOI: 10.1109/TCNS.2021.3089146

In this article, a secure distributed filtering problem is investigated for a state-saturated system subject to random occurring nonlinearities and deception attack. To resist the hostile attack from a malicious attacker who can modify the data of the transmission module according to a certain probability, an attack detector with a dynamic threshold is designed for each sensor to decide whether to broadcast the current measurement innovation to neighbors. A distributed filtering algorithm is proposed to estimate system state, and a sufficient condition is established to guarantee mean-square boundedness of the estimation error. Moreover, a critical attack probability above which the steady-state estimation error covariance will exceed a preset value is found. In addition, a minimum attack magnitude is given to ensure that the attack signal is able to be completely detected. A numerical example is carried out to testify the validity of the proposed results.