文献类型：期刊文献

英文题名：An encoding mechanism for secrecy of remote state estimation

作者：Yang, Wen[1];Li, Dengke[1];Zhang, Heng[2,3];Tang, Yang[1];Zheng, Wei Xing[4]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Jiangsu Ocean Univ, Sch Sci, Lianyungang 222005, Jiangsu, Peoples R China;[3]State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China;[4]Western Sydney Univ, Sch Comp Data & Math Sci, Sydney, NSW 2751, Australia

年份：2020

卷号：120

外文期刊名：AUTOMATICA

收录：;EI(收录号：20202708898756);WOS:【SCI-EXPANDED(收录号:WOS:000564896800015)】；

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 and quality of the paper. This work was supported in part by the National Natural Science Foundation of China under Grant 61973123, the projects sponsored by the development fund for Shanghai talents, the Shanghai Natural Science Foundation under Grant 18ZR1409700, and the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017, the Fundamental Research Funds for the Central Universities, also by the National Natural Science Foundation of China under Grant 61873106, the Jiangsu Six Talent Peak Project under Grant XYDXX-047, the Jiangsu Qing Lan Project to Cultivate Middle-aged and Young Science Leaders, the Lianyungang Hai Yan Plan under Grant 2018ZD-003, and by NSW Cyber Security Network in Australia under Grant P00025091.

语种：英文

外文关键词：State estimation; Secrecy transmission; Linear system; Encoding; Artificial noise

摘要：We consider a secure remote state estimation problem where the observations transmitted from the sensors to a remote estimator could be intercepted by an eavesdropper. To prevent the eavesdropper from acquiring the system states, we propose an encoding-decoding mechanism by combining linear transformation and artificial noise to ensure the exact values of observations unavailable to the eavesdropper but available to the estimator. Further, we propose an algorithm by which the eavesdropper may infer the approximate values of the observations and thus to further estimate the system states. We reveal how the amplitude of the artificial noise affects the accuracy of the eavesdropper inference, which helps the designing of the encoding-decoding mechanism. Simulation experiments are conducted to verify the derived results. (C) 2020 Elsevier Ltd. All rights reserved.