Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System
2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2020): Proceedings 2020
Sergey Jakovlev, Andrius Daranda, Miroslav Voznak, Arnis Lektauers, Tomas Eglynas, Mindaugas Jusis

In this paper, a cyber-security problem is addressed concerning the use of the universal shipborne automatic identification system (AIS). Currently, it is widely used in marine navigation because of the obligatory requirement of IMO (International Maritime Organization) to enhance the ability for identifying a target and to improve marine safety and security in near real-time. Besides vessel identification, the AIS system is used for marine navigation, including collision avoidance, maritime security, and monitoring and accident investigations. Therefore, it is extremely important to ensure the reliability and security of AIS data in organizations responsible for safety and security. In this paper, the vulnerability of the AIS system is investigated, how to detect unusual behavior of vessels based on the AIS statistical data.


Atslēgas vārdi
AIS Data, marine traffic, vessel identification, cyber-security
DOI
10.1109/ITMS51158.2020.9259293
Hipersaite
https://ieeexplore.ieee.org/document/9259293

Jakovlev, S., Daranda, A., Voznak, M., Lektauers, A., Eglynas, T., Jusis, M. Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System. No: 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2020): Proceedings, Latvija, Riga, 15.-16. oktobris, 2020. Piscataway: IEEE, 2020, 1.-5.lpp. ISBN 978-1-7281-9106-5. e-ISBN 978-1-7281-9105-8. Pieejams: doi:10.1109/ITMS51158.2020.9259293

Publikācijas valoda
English (en)
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