TY - JOUR
T1 - Leveraging on-board computing in autonomous ferries to identify malicious network connections
T2 - Leveraging on-board computing in autonomous ferries to identify..: K. Hayawi et al.
AU - Hayawi, Kadhim
AU - Sajid, Junaid
AU - Malik, Asad Waqar
AU - Trabelsi, Zouheir
AU - Rehman, Ayaz Ur
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/12
Y1 - 2024/12
N2 - The advancement of autonomous ferry technology has revolutionized maritime transportation, offering improved efficiency and connectivity. However, this increased reliance on digital systems has simultaneously exposed ferry operations to significant cybersecurity threats, particularly from ransomware attacks and malicious network activities. As the maritime sector embraces automation, vulnerabilities to cyberattacks can disrupt operations, endanger passenger safety, and incur substantial financial losses. In this paper, we introduce a novel framework aimed at identifying and analyzing ransomware vulnerabilities in autonomous ferries, focusing on issues related to over-the-air updates, hotspot connections, and insider threats. Moreover, a simulation framework is presented that examines the financial implications of adversarial attacks on autonomous ferries. Ransomware attacks targeted and disrupted ferry operations, immobilizing multiple vessels. To counter this threat, the study employs an SVM-based model to mitigate ransomware spread, enhancing the resilience of autonomous ferries and safeguarding their uninterrupted collaborative operations. The findings highlight the urgent need for enhanced cybersecurity measures and illustrate how proactive detection and analysis can mitigate risks associated with ransomware attacks.
AB - The advancement of autonomous ferry technology has revolutionized maritime transportation, offering improved efficiency and connectivity. However, this increased reliance on digital systems has simultaneously exposed ferry operations to significant cybersecurity threats, particularly from ransomware attacks and malicious network activities. As the maritime sector embraces automation, vulnerabilities to cyberattacks can disrupt operations, endanger passenger safety, and incur substantial financial losses. In this paper, we introduce a novel framework aimed at identifying and analyzing ransomware vulnerabilities in autonomous ferries, focusing on issues related to over-the-air updates, hotspot connections, and insider threats. Moreover, a simulation framework is presented that examines the financial implications of adversarial attacks on autonomous ferries. Ransomware attacks targeted and disrupted ferry operations, immobilizing multiple vessels. To counter this threat, the study employs an SVM-based model to mitigate ransomware spread, enhancing the resilience of autonomous ferries and safeguarding their uninterrupted collaborative operations. The findings highlight the urgent need for enhanced cybersecurity measures and illustrate how proactive detection and analysis can mitigate risks associated with ransomware attacks.
KW - Autonomous ferries
KW - Connected vessels
KW - Malicious connection
KW - Ransomware attack
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U2 - 10.1007/s12198-024-00286-4
DO - 10.1007/s12198-024-00286-4
M3 - Article
AN - SCOPUS:85211104254
SN - 1938-7741
VL - 17
JO - Journal of Transportation Security
JF - Journal of Transportation Security
IS - 1
M1 - 18
ER -