文献类型：期刊文献

英文题名：False Data Injection Attack for Cyber-Physical Systems With Resource Constraint

作者：Li, Fangfei[1];Tang, Yang[2]

机构：[1]East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2020

卷号：50

期号：2

起止页码：729

外文期刊名：IEEE TRANSACTIONS ON CYBERNETICS

收录：;EI(收录号：20184205949562);WOS:【SCI-EXPANDED(收录号:WOS:000506849800027)】；

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2018YFC0809302, in part by the National Natural Science Foundation of China under Grant 61773161, Grant 61751305, and Grant 61673176, in part by the Science and Technology Commission of Shanghai Municipality under Grant 18ZR1409800, in part by the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017, in part by the Alexander von Humboldt Foundation of Germany, and in part by the Thousand Youth Talents Plan of China.

语种：英文

外文关键词：Sensors; Cyberattack; Multidimensional systems; Covariance matrices; Optimization; State estimation; Kalman filters; Convex optimization; cyber-physical systems (CPSs); false data injection attack; remote estimator estimation

摘要：Cyber-security is of the fundamental importance for cyber-physical systems (CPSs), since CPSs are vulnerable to cyber attack. In order to make the defensive measures better, one needs to understand the behavior from the view of an attacker. In this paper, the problem of false data injection attack on remote state estimation with resource constraints is studied in two cases, where the first case is that the attacker adds a Gaussian noise to the innovation, while the other is that the attacker employs a Gaussian noise to replace the innovation. In addition, the attacker is assumed to has a resource constraint, i.e., he/she cannot attack all the sensors, at the same time should decide which sensors to attack. By using the matrix theory, the optimal attack strategy problem, which aims to maximize the trace of the remote estimation error covariance, is converted into a convex optimization problem that can be solved. Thus, an optimal attack strategy is given to illustrate which sensors should be attacked. An example is given to show the effectiveness of the theoretical results.