Data Quality Assessment for Maritime Situation 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) initially designed to ensure maritime security through continuous position reports has been progressively used for many extended objectives. In particular it supports a global monitoring of the maritime domain for various purposes like safety and security but also traffic management, logistics or protection of strategic areas, etc. In this monitoring, data errors, misuse, irregular behaviours at sea, malfeasance mechanisms and bad navigation practices have inevitably emerged either by inattentiveness or voluntary actions in order to circumvent, alter or exploit such a system in the interests of offenders. This paper introduces the AIS system and presents vulnerabilities and data quality assessment for decision making in maritime situational awareness cases. The principles of a novel methodological approach for modelling, analysing and detecting these data errors and falsification are introduced.

Mots clés: data quality; data falsification; maritime positioning data

Domaines: Gestion des risques et des crises

Clément Iphar, Aldo Napoli, Cyril Ray. Data Quality Assessment for Maritime Situation Awareness. ISSDQ 2015 - The 9th International Symposium on Spatial Data Quality, Sep 2015, La Grande Motte, France. ⟨10.5194/isprsannals-II-3-W5-291-2015⟩. ⟨hal-01269684⟩