Title: Resilient fuzzy SVM control design for nonlinear Markov jump cyber physical systems against replay attacks

Authors: Maryam Fattahi

Addresses: Amirkabir University of Technology, Tehran, Iran

Abstract: This paper presents a novel control strategy framework using fuzzy support vector machine (FSVM) for enhancing the detection and resilience of nonlinear Markov jump cyber-physical systems (NMJCPS) under replay attacks. At first, an introduction to FSVM method is given. Then, dynamic of MJCPS with replay attack is presented. In such condition, resilient FSVM control mechanism for stabilisation of system in condition of abnormal behaviour 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.

Keywords: fuzzy SVM control; nonlinear Markov jump cyber-physical systems; NMJCPS; replay attacks.

DOI: 10.1504/IJAMECHS.2026.153213

International Journal of Advanced Mechatronic Systems, 2026 Vol.13 No.2, pp.77 - 90

Received: 01 Jun 2025
Accepted: 27 Sep 2025
Published online: 29 Apr 2026 *

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