Enhancing Thruster Fault Detection in Unmanned Marine Vehicles Under Denial of Service Attacks Using Asynchronous Switched Filters
TL;DR: Enhancing Thruster Fault Detection in Unmanned Marine Vehicles Under Denial of Service Attacks Using Asynchronous Switched Filters
Abstract: This paper addresses the critical issue of thruster fault detection (FD) in Unmanned Marine Vehicles (UMVs) under Denial of Service (DoS) attacks. Due to the inherent complexity of UMV operations and their reliance on wireless networks, these vehicles are vulnerable to cyber threats that can lead to system failures. The study proposes an asynchronous switched filter to improve fault detection accuracy, considering the delays in detecting DoS attacks. By employing model-dependent average dwell time (MDADT) and piecewise Lyapunov functions (PLF), the research establishes parameters that limit the impact of DoS attacks, and simulation results validate the method's effectiveness in enhancing UMV reliability and security.
Submission Number: 246
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