文献类型：期刊文献

英文题名：False data injection attack on consensus-based distributed estimation

作者：Lei, L.[1];Yang, W.[1];Yang, C.[1];Shi, H. B.[1]

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

年份：2017

卷号：27

期号：9

起止页码：1419

外文期刊名：INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

收录：;EI(收录号：20164903102105);WOS:【SCI-EXPANDED(收录号:WOS:000404475500004)】；

基金：The authors would like to thank the associate editor and the reviewers for their comments and suggestions, which helped to improve the presentation of the paper. This work was supported in part by the National Natural Science Foundation of China under Grant (61573143,61503139), the Innovation Program of Shanghai Municipal Education Commission under Grant no. 14zz55, China Postdoctoral Science Funding 2015M570337.

语种：英文

外文关键词：consensus-based distributed estimation; false data injection attack; limited power; optimal attacking sequences

摘要：We consider security issues for consensus-based distributed estimation problem. In a sensor network, an attacker with limited power injects random false data into the communication links so as to degrade the network performance. First, an optimal estimator is designed by minimizing the mean-squared estimation error of each sensor under hostile attacks. Then, a sufficient condition is provided to guarantee the stability of the proposed estimator. Finally, a set of suboptimal attacking sequences is obtained for the attacker to maximize the network estimation error. Illustrative examples are provided to verify the effectiveness of the suboptimal attacking strategy. Copyright (C) 2016 John Wiley & Sons, Ltd.