An expert-based method for the risk assessment of anomalous maritime transportation data
| hal.structure.identifier | Centre de recherche sur les Risques et les Crises [CRC] | |
| dc.contributor.author | IPHAR, Clément | |
| hal.structure.identifier | Centre de recherche sur les Risques et les Crises [CRC] | |
| dc.contributor.author | NAPOLI, Aldo | |
| hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
| dc.contributor.author | RAY, Cyril | |
| dc.date.accessioned | 2021-05-14T09:32:40Z | |
| dc.date.available | 2021-05-14T09:32:40Z | |
| dc.date.issued | 2020-11 | |
| dc.identifier.issn | 0141-1187 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/75984 | |
| dc.description.abstractEn | 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. | |
| dc.description.sponsorship | Détection de messages AIS falsifiés - ANR-14-CE28-0028 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.subject.en | Maritime risk assessment | |
| dc.subject.en | AIS data falsification | |
| dc.subject.en | Traffic safety | |
| dc.title.en | An expert-based method for the risk assessment of anomalous maritime transportation data | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.apor.2020.102337 | |
| dc.subject.hal | Sciences de l'ingénieur [physics] | |
| dc.subject.hal | Sciences de l'Homme et Société | |
| bordeaux.journal | Applied Ocean Research | |
| bordeaux.page | 102337 | |
| bordeaux.volume | 104 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02974997 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02974997v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Applied%20Ocean%20Research&rft.date=2020-11&rft.volume=104&rft.spage=102337&rft.epage=102337&rft.eissn=0141-1187&rft.issn=0141-1187&rft.au=IPHAR,%20Cl%C3%A9ment&NAPOLI,%20Aldo&RAY,%20Cyril&rft.genre=article |
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