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2020•Unpublished venueRequires access

Analysis of the Possibility to Detect Fake Vessels in the Automatic Identification System

Sergej Jakovlev, Andrius Daranda, Miroslav Vozn̆ák, Arnis Lektauers, Tomas Eglynas, Mindaugas Jusis

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Abstract

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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.

Key concepts: Automatic Identification System, Marine safety, Computer security, Identification (biology), Vulnerability (computing), Computer science, Reliability (semiconductor), Maritime safety

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