Assuring Safe Navigation and Network Operations of Autonomous Ships
Assuring Safe Navigation and Network Operations of Autonomous Ships
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DOI：
10.1109/ccwc60891.2024.10427933
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发表时间：
2024-01
期刊：
影响因子：
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通讯作者：
Luis Rivas;Spencer Stevens;Andrew Zitter;Vinayak Khandelwal;Amodini Vardhan;Chinmay Lohani;Chris Rouff;Lanier Watkins
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文献类型：
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作者：
Luis Rivas;Spencer Stevens;Andrew Zitter;Vinayak Khandelwal;Amodini Vardhan;Chinmay Lohani;Chris Rouff;Lanier Watkins
随着连接性和自动化增加攻击面，自动驾驶船舶面临不断升级的网络安全威胁。在COVID-19疫情期间，网络犯罪分子将针对海洋行业的安全入侵增加了400%。这项研究是一项正在进行的研究，旨在研究开发一个模块化战舰模拟器和一个同时使用机器学习（ML）技术的导航和安全人工智能（AI）监控系统的可行性。我们使用了一个简单但具有代表性的威胁模型，该模型基于针对武器系统和ICS网络操作的GPS欺骗和完整性攻击。结果表明，模块化的战舰模拟器和相关的AI监控系统的可行性。该模拟器利用海上车辆物理，基本武器系统操作和ICS网络操作。最重要的是，我们展示了人工智能监视器防范导航和网络操作异常的能力，这些异常可能危及船舶和/或其相关的使命。
Autonomous marine vehicles face escalating cyber-security threats as connectivity and automation increase attack surfaces. Cybercriminals have increased security intrusions targeting the marine industry by 400% during the COVID-19 epidemic. This research is a work-in-progress study investigating the feasibility of developing a modular battleship simulator and a simultaneous navigation and security artificial intelligence (AI) monitoring system with machine learning (ML) technologies. We used a simple but representative threat model based on GPS spoofing and integrity attacks against the weapons system and ICS network operations. Results indicate the feasibility of the modular battleship simulator and the associated AI monitoring system. The simulator utilizes maritime vehicle physics, rudimentary weapons systems operations, and ICS network operations. Most importantly, we demonstrate the ability of AI monitors to guard against navigation and network operation anomalies that would jeopardize a ship and/or its associated mission.