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Cited by 4

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Cybersecurity in Maritime Transport Systems: Threats, Trends, and Countermeasures in the Last Decade

Cichocki, Rafal, Wojcik, Przemyslaw·2025·TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
DOI 10.12716/1001.19.03.03
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Research works printed but not linked: 17

  1. Symes, S., Blanco-Davis, E., Graham, T., Wang, J., & Shaw, E. (2024). Cyberattacks on the Maritime Sector: A Literature Review. Journal of Marine Science and Application, 23(4), 689–706. https://doi.org/10.1007/s11804-024-00443-0 · DOI
  2. Weintrit, A., Neumann, T. (2013). Marine navigation and safety of sea transportation: Maritime transport & shipping, 1-320, 978-131588312-0, CRC Press · DOI
  3. Weintrit, A., Neumann, T. (2013). Marine Navigation and Safety of Sea Transportation: Advances in Marine Navigation, 1-313, 978-131588301-4, CRC Press · DOI
  4. Weintrit, A., Neumann, T. (2015). Safety of marine transport introduction in: Safety of Marine Transport: Marine Navigation and Safety of Sea Transportation, 1-4, 978-131567261-8, CRC Press · DOI
  5. Neumann, T. (2024). Cybersecurity in Maritime Industry. TransNav, International Journal on Marine Navigation and Safety Od Sea Transportation, 18(4), 765–774. https://doi.org/10.12716/1001.18.04.02 · DOI
  6. Jaffe, J., & Floridi, L. (2024). Ransomware: Why It’s Growing and How to Curb Its Growth. Applied Cybersecurity & Internet Governance, 3(2), 38–64. https://doi.org/10.60097/ACIG/192959 · DOI
  7. Sindiramutty, S. R., Cen, T. Y., Raslan, M. A. H. bin M., Subramaniam, M. R., Xin, L. Y., Kin, S. J., Long, M. S., & Sindiramutty, S. R. (2024). In-Depth Analysis and Countermeasures for Ransomware Attacks: Case Studies and Recommendations. https://doi.org/10.20944/preprints202408.2261.v1 · DOI
  8. Alhaji, U. M., Adewumi, S. E., & Yemi-peters, V. I. (2025). Classification of Phishing Attacks Using Machine Learning Algorithms: A Systematic Literature Review. Journal of Advances in Mathematics and Computer Science, 40(1), 26–44. https://doi.org/10.9734/jamcs/2025/v40i11960 · DOI
  9. Jampani, S. K. (2025). Social Engineering 2.0 Deepfake and Deep Learning-based Cyber-attacks (Phishing). IJFMR - International Journal For Multidisciplinary Research, 7(1). https://doi.org/10.36948/ijfmr.2025.v07i01.35527 · DOI
  10. Afek, Y., Berger, H., & Bremler-Barr, A. (2025, January 23). POPS: From History to Mitigation of DNS Cache Poisoning Attacks. arXiv.Org. https://arxiv.org/abs/2501.13540v1 · arXiv
  11. Rolansa, F., Istiyanto, J. E., Afiahayati, A., & Frisky, A. Z. K. (2025). SMOTE tree-based autoencoder multi-stage detection for man-in-the-middle in SCADA. Indonesian Journal of Electrical Engineering and Computer Science, 38(1), Article 1. https://doi.org/10.11591/ijeecs.v38.i1.pp133-144 · DOI
  12. Kandasamy, V., & Roseline, A. A. (2025). Harnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks. Scientific Reports, 15(1), Article 1. https://doi.org/10.1038/s41598-025-85547-5 · DOI
  13. Zhuo, Z., Cai, T., Zhang, X., & Lv, F. (2021). Long short-term memory on abstract syntax tree for SQL injection detection. IET Software, 15(2), 188–197. https://doi.org/10.1049/sfw2.12018 · DOI
  14. College of Computers and Information Technology, Taif University, Taif, SA., Awadh, N., Zaid, H., College of Computers and Information Technology, Taif University, Taif, SA., Al-ajmani, Dr. S., & Department of Information Technology, College of Computer and Information Technology, Taif University, Taif, SA. (2025). A Robust Framework for Detecting Brute-Force Attacks through Deep Learning Techniques. International Journal of Recent Technology and Engineering (IJRTE), 13(5), 27–42. https://doi.org/10.35940/ijrte.E8182.13050125 · DOI
  15. Mujtaba, A., Zulfiqar, M., Azhar, M. U., Ali, S., Ali, A., & Khan, H. (2025). ML-based Fileless Malware Threats Analysis for the Detection of Cyber security Attack based on Memory Forensics: A Survey. The Asian Bulletin of Big Data Management, 5(1), Article 1. https://doi.org/10.62019/abbdm.v5i1.289 · DOI
  16. Guadarrama-Estrada, A. R., Osorio-Gordillo, G. L., Vargas-Méndez, R. A., Reyes-Reyes, J., & Astorga-Zaragoza, C. M. (2025). Cyber–Physical System Attack Detection and Isolation: A Takagi–Sugeno Approach. Mathematical and Computational Applications, 30(1), Article 1. https://doi.org/10.3390/mca30010012 · DOI
  17. Transportation-Energy-Communication Integrated Management of Ship Cyber-Physical Systems Against Cyber Attacks. (n.d.). Retrieved May 31, 2025, from https://ieeexplore.ieee.org/document/10833774

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Metadata

Authors
Cichocki, R., & Wojcik, P.
ORCID
Venue
TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
Publisher
Faculty of Navigation
Published
2025
Volume
19
Issue
3
Pages
715-722
ISSN
2083-6473
DOI
10.12716/1001.19.03.03
Cited by
4
References
0
Language
en

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CoChat. (2026). Citation check: Cybersecurity in Maritime Transport Systems: Threats, Trends, and Countermeasures in the Last Decade. https://app.cochat.ai/papers/10.12716/1001.19.03.03
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Cichocki, R., & Wojcik, P. (2025). Cybersecurity in Maritime Transport Systems: Threats, Trends, and Countermeasures in the Last Decade. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. https://doi.org/10.12716/1001.19.03.03

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.