IPHAR, Clément; NAPOLI, Aldo; RAY, Cyril

doi:10.1016/j.apor.2020.102337

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IPHAR, Clément
Centre de recherche sur les Risques et les Crises [CRC]

NAPOLI, Aldo
Centre de recherche sur les Risques et les Crises [CRC]

RAY, Cyril
Institut de Recherche de l'Ecole Navale [IRENAV]

Langue

Article de revue

Ce document a été publié dans

Applied Ocean Research. 2020-11, vol. 104, p. 102337

Elsevier

Résumé en anglais

Risks in maritime navigation linked to cyberthreats emerge, and they must be assessed together with the more traditional risks such as grounding or colliding another vessel, as now the latter might be the consequence of a cyberattack. The fields of mobility and transportation data see vulnerabilities of navigation systems jeopardising their normal use, and putting both users and their environment at risk. In this article, we propose a method based on expert knowledge for the risk assessment of cyberthreats in maritime transportation data. A specific focus is proposed on the AIS (Automatic Identification System), a world-wide message-based vessel localisation system that has demonstrated weaknesses allowing errors, falsification and spoofing of its transmitted data. The discovery of abnormal reporting cases is assessed by an expert-designed rule-based analysis frame resulting in the triggering of alerts and the assignment of risk levels, tailored to increase the awareness of the people in charge of monitoring the maritime traffic.< Réduire

Mots clés en anglais

Maritime risk assessment

AIS data falsification

Traffic safety

URI

https://oskar-bordeaux.fr/handle/20.500.12278/75984

DOI

http://dx.doi.org/10.1016/j.apor.2020.102337

Project ANR

Détection de messages AIS falsifiés - ANR-14-CE28-0028

Origine

Importé de hal

Unités de recherche

Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295