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Appraisal of a Ship’s Cybersecurity efficiency: the case of piracy

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  • Hristos Karahalios

    (Pelorus, Maritime Education Department)

Abstract

New information technologies are beneficial for ship operations in terms of safety and utilisation of company resources. However, new cybercrime threats have emergedaffecting, both ship safety and security that need to be assessed and evaluated. At the moment, actions of the maritime industry to keep pace dealing with such threats are slow when compared with other business sectors. As a high concern, maritime pirates could take advantage of cybersecurity breaches to monitor ship activity and gain information for potential protective failures. In 2021 companies and seafarers should be able to demonstrate knowledge and safeguard policies of their companies. Nevertheless, there is limited discussion on how companies will educate seafarers for existing threats. Therefore, in this study, a risk-based methodology is proposed for evaluation of cybersecurity threats in the context of a piracy attack. STPA-SafeSec’s analysis is used to identify security threats, and FAHP is utilised for evaluating the severity of each security constraint. Audits on 15 ships with 315 seafarers indicated that there are significant security gaps mainly due to lack of awareness from operators and seafarers. However, physical security and network protection that already apply to ships are significant security strengths.

Suggested Citation

  • Hristos Karahalios, 2020. "Appraisal of a Ship’s Cybersecurity efficiency: the case of piracy," Journal of Transportation Security, Springer, vol. 13(3), pages 179-201, December.
  • Handle: RePEc:spr:jtrsec:v:13:y:2020:i:3:d:10.1007_s12198-020-00223-1
    DOI: 10.1007/s12198-020-00223-1
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    1. Şaban Emre Kartal & Özkan Uğurlu & Mehmet Kaptan & Yasin Arslanoğlu & Jin Wang & Sean Loughney, 2019. "An analysis and comparison of multinational officers of the watch in the global maritime labor market," Maritime Policy & Management, Taylor & Francis Journals, vol. 46(6), pages 757-780, August.
    2. Wang, Likun & Yang, Zaili, 2018. "Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 277-289.
    3. Pristrom, Sascha & Yang, Zaili & Wang, Jin & Yan, Xinping, 2016. "A novel flexible model for piracy and robbery assessment of merchant ship operations," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 196-211.
    4. Kyriakidis, Miltos & Majumdar, Arnab & Ochieng, Washington Y., 2018. "The human performance railway operational index—a novel approach to assess human performance for railway operations," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 226-243.
    5. Lin Ding & Zhenfeng Shao & Hanchao Zhang & Cong Xu & Dewen Wu, 2016. "A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    6. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2018. "Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 209-224.
    7. Germond, Basil, 2015. "The geopolitical dimension of maritime security," Marine Policy, Elsevier, vol. 54(C), pages 137-142.
    8. Soheila Albooyeh & Farzad Yaghmaie, 2019. "Evaluation of knowledge management model in construction companies using the fuzzy AHP and fuzzy TOPSIS," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 18(1), pages 64-97.
    9. Ahokas, Jenna & Kiiski, Tuomas & Malmsten, Jarmo & Ojala, Lauri M., 2017. "Cybersecurity in ports: A conceptual approach," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 343-359, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    10. TAVANA, Madjid & HATAMI-MARBINI, Adel, 2011. "A group AHP-TOPSIS framework for human spaceflight mission planning at NASA," LIDAM Reprints CORE 2362, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Sujit Singh & Ezutah Udoncy Olugu & Siti Nurmaya Musa & Abu Bakar Mahat, 2018. "Fuzzy-based sustainability evaluation method for manufacturing SMEs using balanced scorecard framework," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 1-18, January.
    12. Chunguang Bai & Ahmet Satir & Joseph Sarkis, 2019. "Investing in lean manufacturing practices: an environmental and operational perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 57(4), pages 1037-1051, February.
    13. Roberts, Fred S., 2019. "From Football to Oil Rigs: Risk Assessment for Combined Cyber and Physical Attacks," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 10(2), pages 251-273, July.
    14. Kimberly Tam & Kevin D. Jones, 2018. "Maritime cybersecurity policy: the scope and impact of evolving technology on international shipping," Journal of Cyber Policy, Taylor & Francis Journals, vol. 3(2), pages 147-164, May.
    15. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    16. Zhuohua Qu & Chengpeng Wan & Zaili Yang & Paul Tae-Woo Lee, 2018. "A Discourse of Multi-criteria Decision Making (MCDM) Approaches," International Series in Operations Research & Management Science, in: Paul Tae-Woo Lee & Zaili Yang (ed.), Multi-Criteria Decision Making in Maritime Studies and Logistics, chapter 0, pages 7-29, Springer.
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