Attack Detection in Cyber-Physical Systems Using Particle Filter: An Illustration on Three-Tank System

The attack detection problem for cyber-physical system(CPS)is investigated based on particle filter. We focus on three types of attacks: denial-of-service(DoS)attack, random attack and false data injection attack, which are applied to the three-tank system in this paper. The models of three-tank system and the cyber attacks will be firstly introduced. Then, we use particle filter to estimate the state of the three-tank system which is subjected to the cyber attacks. According to the estimation result, a residual is designed based on sliding-time window technique in order to detect the attacks. Finally, a simulation experiment is designed to illustrate the effectiveness of the proposed method.

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