Threat Hunting and Security Analysis for Maritime Vessels

The growing reliance on digital technologies onboard vessels has significantly increased their attack surface. As a result, both IT and OT systems are now vulnerable to a range of cyberattacks. However, existing methods used to assess vulnerability and threats often rely on outdated threat or vulnerability information, limiting their effectiveness. Consequently, a more proactive approach to assessing the security of vessel systems is needed. Threat hunting offers a proactive way of gathering the latest threat and vulnerability data from operational maritime vessels, which can be used for comprehensive security assessments. However, there is a lack of systems specifically designed to perform both threat-hunting and security assessment operations. In this paper, we propose a threat-hunting and security assessment framework that collects and processes real-time data from vessels and conducts security analysis using a graphical security model designed for vessel systems. Our approach demonstrates how the collected information can be used to evaluate a ship’s security posture by simulating potential attack scenarios and understanding how an adversary might attempt to compromise the vessel’s network. It also provides a foundation for more informed, data-driven cybersecurity strategies for the unique systems found onboard maritime vessels.

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Publication Details

Published
2025-09-15
DOI
https://doi.org/10.1109/lcn65610.2025.11146326
Primary Topic
Terrorism, Counterterrorism, and Political Violence
Type
article
Field-Weighted Citation Impact
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article

Threat Hunting and Security Analysis for Maritime Vessels

Dong Seong Kim, Hyunjae Kang, Simon Yusuf Enoch, Huy Kang Kim
Terrorism, Counterterrorism, and Political Violence
article

Threat Hunting and Security Analysis for Maritime Vessels

Dong Seong Kim, Hyunjae Kang, Simon Yusuf Enoch, Huy Kang Kim
article en

Abstract

The growing reliance on digital technologies onboard vessels has significantly increased their attack surface. As a result, both IT and OT systems are now vulnerable to a range of cyberattacks. However, existing methods used to assess vulnerability and threats often rely on outdated threat or vulnerability information, limiting their effectiveness. Consequently, a more proactive approach to assessing the security of vessel systems is needed. Threat hunting offers a proactive way of gathering the latest threat and vulnerability data from operational maritime vessels, which can be used for comprehensive security assessments. However, there is a lack of systems specifically designed to perform both threat-hunting and security assessment operations. In this paper, we propose a threat-hunting and security assessment framework that collects and processes real-time data from vessels and conducts security analysis using a graphical security model designed for vessel systems. Our approach demonstrates how the collected information can be used to evaluate a ship’s security posture by simulating potential attack scenarios and understanding how an adversary might attempt to compromise the vessel’s network. It also provides a foundation for more informed, data-driven cybersecurity strategies for the unique systems found onboard maritime vessels.

The University of Queensland (AU), Korea University (KR), Whitecliffe College of Arts and Design (NZ)
Openalex Percentile: Top 67%
Terrorism, Counterterrorism, and Political Violence
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Threat Hunting and Security Analysis for Maritime Vessels — Dong Seong Kim, Hyunjae Kang, et al. · (2025) | TGRS Research Map | TGRS