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Full Description
This book highlights the importance of cybersecurity in the maritime domain, including the human and societal aspects of both cyber-crime and cyber-defense. The authors present mechanisms for early detection and prevention of cyber-attacks, as well as security protocols based on testbed nautical simulator experiments, machine learning algorithms and artificial intelligence applications. This collection of research articles addresses the ethical, societal and technical aspects of maritime cybersecurity and offers solutions to mitigate the threat of cyber-attacks. The book is designed to help both researchers and stakeholders across the maritime ecosystem, including shipping and port logistics. Research findings are presented in the following areas: human factors in maritime cyber security, cyber security awareness and skills of seafarers, vulnerabilities in electronic maritime navigation on manned and unmanned vessels, internal and external attack vectors on bridge and propulsion systems, cyber security threats and countermeasures in seaports. The book serves as a handbook for those professionally involved in or interested in cybersecurity of IT and OT systems.
This book is open access, which means that you have free and unlimited access.
Contents
Introduction.- The future of cybersecurity at sea: Human vs. human, or AI vs. AI.- Human factors in maritime cybersecurity.- Human factor and culture in maritime cybersecurity.- Rethinking seafarer training for the digital age.- Ports of Tallinn and Koper comparative analysis including cybersecurity.- Simulating cyberattacks on autonomous sea surface vessel's rudder controller.- A scope review of secure broadcasting protocols for the automated identification system.- Using incremental inductive logic programming for learning spoofing attacks on maritime automated identification system data.- A concept of integrating an open-source intrusion detection system into marine vehicles.- Integrating artificial neural networks with inertial navigation systems for resilience against GPS cyber-attacks.- Machine learning cybersecurity risk valuation in autonomous surface vessels.- Automatic identification system intrusion detection using federated leering approach.- Conclusion.
