文献类型：期刊文献

英文题名：Dual-Protection Method Against Eavesdroppers for Distributed State Estimation

作者：Yu, Yan[1];Yang, Chao[1];Ding, Wenjie[1];Yang, Wen[1];Wang, Xiaofan[2,3]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China;[3]Shanghai Inst Technol, Sch Elect & Elect Engn, Shanghai 201418, Peoples R China

年份：2025

卷号：11

起止页码：427

外文期刊名：IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS

收录：;EI(收录号：20251718311693);WOS:【SCI-EXPANDED(收录号:WOS:001483750600002)】；

基金：This work was supported in part by the National Key R&D Program of China under Grant 2023YFF1204805 and in part by the National Natural Science Foundation of China under Grant 62336005.

语种：英文

外文关键词：Sensors; Encryption; Sensor systems; Encoding; State estimation; Intelligent sensors; Wireless sensor networks; Estimation error; Eavesdropping; Wireless communication; Distributed secure state estimation; eavesdropping; encryption; privacy-preserving

摘要：This paper examines a security issue for state estimation over a wireless sensor network. The state estimates are transmitted among neighboring nodes through wireless channels in a distributed network, wherein the transmission of the data are vulnerable to the intercept from eavesdroppers, leading to important data privacy leakage. To prevent eavesdroppers from obtaining state estimates, we propose a dual-protection method that combines dynamic transformation with lightweight encryption, which aims to protect the privacy without raising suspicion from eavesdroppers. Furthermore, we consider the scenarios where eavesdroppers utilize side-channel information to gather data and attempt to deduce the encryption mechanism, subsequently inferring the real state estimate. We also provide the analysis to show that the eavesdropper with inference capabilities could not influence the estimation performance of sensors. Finally, the numerical examples are provided to illustrate the effectiveness of the privacy-preserving method.