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Optimal Linear Attack for Multi-sensor Network Against State Estimation by Tenghui Li; Zhuping Wang; Chao Huang; Hao Zhang is a Engineering article available to read on EtoBox.

What is Optimal Linear Attack for Multi-sensor Network Against State Estimation about?

This paper is concerned with a security problem about malicious integrity attacks in state estimation system, in which multiple smart sensors locally measure information and transmit it to a remote fusion estimator though wireless channels. A joint constraint is considered for the attacker behaviour in each channel to keep stealthiness under a residual-based detector on the remote side. In order to degrade the estimator performance, the attacker will maximize the trace of the remote state estimation error covariance which is derived based on Kalman filter theory. It is proved that the optimal linear attack strategy design problem is convex and finally turned into a semi-definite programming problem. In addition, the tendency of attack behaviour on recursive and fixed Kalman filter system is analyzed. Several examples are given to illustrate the theoretical results.

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Author

Tenghui Li; Zhuping Wang; Chao Huang; Hao Zhang

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Engineering (Physical Sciences)