This paper presents a novel control strategy framework using adaptive fuzzy support vector machine (FSVM) for enhancing the detection and resilience of Uncertain Nonlinear Markov Jump Cyber-Physical Systems (UNMJCPS) under replay attacks. At first, an introduction to FSVM method is given. Then, the dynamic of UMJCPS with replay attack is presented. In such condition, a resilient adaptive FSVM control mechanism for stabilization of system in condition of abnormal behavior due to replay attacks is proposed. The proposed new approach ensures system stability and performance during and after the attack. Simulation results demonstrate the effectiveness of the control design in mitigating the effects of replay attacks and maintaining system functionality.
Maryam Fattahi (Fri,) studied this question.