ARCHIVES

1. C. K. R. Tesch, A. Coraddu, and F. B. Rizzo, "Anomaly Detection in Vessel Trajectories Using Machine Learning and AIS Data,"
IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 1103-1117, Feb. 2022.
2. M. Ristic, B. La Scala, A. Skvortsov, and B. Boškovic, "Detection of Anomalous Maritime Behaviour Based on Intelligence Reports
and Surveillance Data," Information Fusion, vol. 51, pp. 108-120, 2019.
3. S. Sharma, K. N. Ganesan, and H. D. Tran, "Self-Supervised Learning for Anomaly Detection in Maritime Traffic Patterns," IEEE
Access, vol. 10, pp. 20419-20432,
2022.
4. D. M. Oliver, P. H. J. Kelly, and E. Bertino, "AIS Data Integrity and Anomaly Detection
Using Deep Learning and Blockchain," Future Generation Computer Systems, vol. 129, pp. 63-75, 2022.
5. X. Zhang, W. Wang, and J. Han, "Multi- Modal Sensor Fusion for Maritime Surveillance: A Deep Learning Approach," Sensors, vol.
21, no. 12, pp. 4011-4029, June
2021.
6. H. Yao, M. Wei, and L. Wang, "Graph Neural Networks for Vessel Trajectory Analysis in Maritime Traffic Surveillance," IEEE
Transactions on Neural Networks and Learning Systems, vol. 34, no. 5, pp. 2201-
2214, May 2023.
7. L. Chen, Y. Xu, and P. Zhang, "Explainable AI for Maritime Anomaly Detection: Challenges and Future Directions," Expert Systems
with Applications, vol. 210, pp. 118412, 2023.
8. D. Lee, R. Jin, and F. Peng, "Deep Reinforcement Learning for Maritime Anomaly Detection: Applications and Challenges," IEEE
Internet of Things Journal, vol. 9, no. 4, pp. 3092-3103, Feb.
2022.
9. S. F. Fouad and G. R. El-Badawy, "AI- Powered Vessel Tracking Using Satellite Imagery and Sensor Fusion," Remote Sensing, vol. 14,
no. 10, pp. 2502-2518, May
2022.
10. P. Harati and M. Mesbah, "Anomaly Detection in Maritime Surveillance Using Unsupervised Learning Techniques," Pattern
Recognition Letters, vol. 153, pp. 65-72,
2022.
11. J. J. Kim and T. S. Kim, "Real-Time AIS Spoofing Detection with Deep Learning and Cybersecurity Measures," Journal of Maritime
Science and Engineering, vol. 11, no. 3, pp. 187-203, 2023.
12. R. Mohanty, S. Sahoo, and D. Patra, "A Hybrid Approach for Maritime Cybersecurity Using AI and Blockchain," ACM Transactions
on Cyber-Physical Systems, vol. 6, no. 4, pp. 1-23, 2022.
13. F. D. Garcia, S. Baek, and M. Roh, "Advancements in Maritime AI Surveillance: A Review of Anomaly Detection Techniques," Applied
Sciences, vol. 12, no. 14, pp. 7423-7437, July 2022.
14. W. Li, Y. Zhou, and Z. Lin, "Self-Supervised Learning for Maritime Cyber Threat Detection," IEEE Transactions on Information
Forensics and Security, vol. 18, no. 9, pp. 5671-5684, Sept. 2023.
15. H. Tan, Q. Liu, and X. Zhang, "AI-Driven Risk Assessment for Smuggling and Illicit Vessel Activities in Maritime Security," Ocean
Engineering, vol. 280, pp. 114982, 2023.