Detection of false AIS messages for the improvement of maritime situational awareness

Clément Iphar (1) , Aldo Napoli (1) , Cyril Ray (2)

1 CRC - Centre de recherche sur les Risques et les Crises
2 IRENAV - Institut de Recherche de l'Ecole Navale

The Automatic Identification System (AIS) was initially designed for safety and security of navigation purposes. However it was progressively also used for other objectives, such as surveillance, and thus led to the discovery of behaviors such as the falsification of the AIS messages by people that have been carrying out illegal activities and will to keep their activities up in an hidden way. In addition, the messages contain erroneous data and undergo spoofing attacks. The paper introduces the quality dimensions of data that shall be used in a quality assessment of AIS messages, in order to point out the dubious ones. The principles of a methodological approach for the detection of such data errors and falsifications are introduced.

Mots clés: Automatic Identification System; maritime domain awareness; data falsification; data quality dimensions

Domaines: Sciences de l'Homme et Société; Gestion des risques et des crises

Clément Iphar, Aldo Napoli, Cyril Ray. Detection of false AIS messages for the improvement of maritime situational awareness. Oceans'2015, sponsored by the Marine Technology Society and the IEEE Oceanic Engineering Society, Oct 2015, Washington, DC, United States. ⟨hal-01203049⟩