Data integrity assessment for maritime anomaly detection - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Expert Systems with Applications Année : 2020

Data integrity assessment for maritime anomaly detection

(1) , (2) , (1)
Clément Iphar
Cyril Ray
  • Fonction : Auteur
  • PersonId : 834747
Aldo Napoli


In the last years, systems broadcasting mobility data underwent a rise in cyberthreats, jeopardising their normal use and putting both users and their environment at risk. In this respect, anomaly detection methods are needed to ensure an assessment of such systems. In this article, we propose a rule-based method for data integrity assessment, with rules built from the system technical specifications and by domain experts, and formalised by a logic-based framework, resulting in the triggering of situation-specific alerts. A use case is proposed on the Automatic Identification System, a worldwide localisation system for vessels, based on its poor level of security which allows errors, falsifications and spoofing scenarios. The discovery of abnormal reporting cases aims to assist marine traffic surveillance, preserve the human life at sea and mitigate hazardous behaviours against ports, off-shore structures and the environment.
Fichier principal
Vignette du fichier
S0957417420300452.pdf (2.04 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02570943 , version 1 (21-07-2022)


Paternité - Pas d'utilisation commerciale - CC BY 4.0



Clément Iphar, Cyril Ray, Aldo Napoli. Data integrity assessment for maritime anomaly detection. Expert Systems with Applications, 2020, 147, pp.113219. ⟨10.1016/j.eswa.2020.113219⟩. ⟨hal-02570943⟩
93 Consultations
55 Téléchargements



Gmail Facebook Twitter LinkedIn More