Resilient Security Strategies for Autonomous Maritime Systems: Detecting and Mitigating Cyberattacks in UMVs
Abstract: As autonomous maritime systems become increasingly integrated into commercial and military operations, the need for resilient cybersecurity solutions grows. Unmanned maritime vehicles (UMVs) face unique challenges due to their remote and often isolated deployment environments, making them attractive targets for cyberattacks. This paper presents a resilient security strategy focused on real-time attack detection and automated response mechanisms for UMVs. By leveraging a hybrid approach combining rule-based and behavior-based detection, the proposed system is capable of identifying complex attack vectors while minimizing false positives. Additionally, the study discusses techniques for secure communication, encryption, and redundancy measures to enhance the robustness of UMV operations in adversarial settings.
Submission Number: 211
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