An expert-based method for the risk assessment of anomalous maritime transportation data
Language
en
Article de revue
This item was published in
Applied Ocean Research. 2020-11, vol. 104, p. 102337
Elsevier
English Abstract
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 ...Read more >
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.Read less <
English Keywords
Maritime risk assessment
AIS data falsification
Traffic safety
ANR Project
Détection de messages AIS falsifiés - ANR-14-CE28-0028
Origin
Hal imported