文献类型：期刊文献

英文题名：Consensus-based filtering under false data injection attacks

作者：Xia, Yuanyuan[1];Yang, Wen[1];Zhao, Zhiyun[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2019

卷号：48

起止页码：3

外文期刊名：EUROPEAN JOURNAL OF CONTROL

收录：;EI(收录号：20185306322040);WOS:【SCI-EXPANDED(收录号:WOS:000474318700002)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61573143, 61703162, the Natural Science Foundation of Shanghai Under Grant 18ZR1409700, the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：Distribute state estimation; Linear attacks; Residue-based detector; Wireless sensor network

摘要：In this paper, we consider the attack detection issues for consensus-based distributed filtering. Assume that a malicious attacker exists who can tamper the data transmitted on the communication channel. First, we design a residue-based detector for each sensor to decide whether the received data is malicious or not. Then, we design an optimal estimator for the networked system with the proposed detector. Further, we prove that the proposed detector based on a stochastic rule does not destroy the Gaussianity of the innovation, and provide a sufficient condition to guarantee the convergence of the estimation error covariance. Finally, we provide some examples to verify the effectiveness of the proposed detector under integrity attacks. (C) 2018 European Control Association. Published by Elsevier Ltd. All rights reserved.