Security Control and Intrusion Detection Systems for Unmanned Maritime Vehicles: A Multi-Layered Approach
Abstract: Unmanned maritime vehicles (UMVs) play a critical role in modern maritime operations, spanning a wide range of applications from defense to commercial purposes. Despite their advantages, the increased autonomy and network connectivity of UMVs expose them to significant cybersecurity risks. This paper proposes a multi-layered security control framework combined with real-time intrusion detection systems (IDS) to protect UMVs from cyberattacks. We focus on key vulnerabilities in communication channels, navigation systems, and sensor networks while introducing machine learning-based detection techniques capable of identifying both known and zero-day attacks. The study also evaluates the performance of these systems in dynamic maritime environments through simulation and real-world testing, highlighting the trade-offs between security, latency, and operational efficiency.
Submission Number: 214
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