Formulating Cybersecurity Requirements for Autonomous Ships Using the SQUARE Methodology.
1DSLAB Company Ltd., Seoul 08511, Republic of Korea.
Sensors (Basel, Switzerland)
|June 10, 2023
Summary
Cybersecurity for artificial intelligence (AI) in autonomous ships is vital. This study identifies AI vulnerabilities and proposes cybersecurity requirements to counter cyberthreats in the maritime industry.
Area of Science:
- Maritime technology
- Artificial intelligence
- Cybersecurity
Background:
- Autonomous ships rely on AI for navigation and environmental recognition without human intervention.
- Increased ship-to-land connectivity for real-time monitoring and remote control introduces significant cyberthreats to onboard data and AI systems.
Purpose of the Study:
- To investigate cybersecurity vulnerabilities in AI technologies applied to autonomous ships.
- To present potential cyberattack scenarios targeting AI systems in autonomous vessels.
- To formulate essential cybersecurity requirements for autonomous ship AI.
Main Methods:
- Analysis of vulnerabilities in ship systems and AI technologies.
- Development of cyberattack scenarios specific to autonomous ship AI.
- Application of the Security Quality Requirements Engineering (SQUARE) methodology.
Main Results:
- Identification of various vulnerabilities in AI applied to autonomous ships.
- Presentation of plausible cyberattack scenarios targeting these AI systems.
- Formulation of specific cyberthreats and cybersecurity requirements.
Conclusions:
- Cybersecurity for AI is as critical as traditional ship system security for autonomous vessels.
- Proactive identification of vulnerabilities and development of tailored cybersecurity measures are essential.
- The SQUARE methodology provides a framework for defining robust cybersecurity requirements for autonomous maritime AI.
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