On the interest of data mining for an integrity assessment of AIS messages

Clément Iphar 1 Aldo Napoli 1 Cyril Ray 2
1 CRC - Centre de recherche sur les Risques et les Crises
2 Naval Academy Research Institute
Abstract : Put in place by the International Maritime Organization, the Automatic Identification System is a worldwide maritime electronic system that sends radio broadcasted messages at a high rate between the stations, either on board the vessels or on shores. However, some misuses of the system such as identity theft, localization spoofing or disappearances have been demonstrated. The high rate of transmission implies a considerable amount of data to process in order to point out those irregularities. This paper proposes a method based on data mining and clustering methods combined to an integrity assessment of AIS messages for anomaly detection, with a proposition of software architecture for a data processing done both on-the-fly and with archived data. The computation of confidence coefficients and the use of data mining techniques will lead to behaviour characterization with the purpose of enhance the maritime situational awareness.
Keywords : Automatic Identification System data falsification integrity assessment
Type de document :
Communication dans un congrès
Liste complète des métadonnées

Littérature citée [24 références]  Voir  Masquer  Télécharger
https://hal-mines-paristech.archives-ouvertes.fr/hal-01421878
Contributeur : Magalie Prudon <>
Soumis le : vendredi 23 décembre 2016 - 15:20:45
Dernière modification le : lundi 12 novembre 2018 - 10:54:47
Document(s) archivé(s) le : mardi 21 mars 2017 - 05:48:11

Fichier

MDDM_IPHAR.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

INSTITUT-TELECOM | CRC-PARISTECH | CRC-THESE | ENSMP_CRC | ENSMP | PSL | PARISTECH

Citation

Clément Iphar, Aldo Napoli, Cyril Ray. On the interest of data mining for an integrity assessment of AIS messages. 1st International ICDM Workshop on Maritime Domain Data Mining (MDDM 2016), Dec 2016, Barcelona, Spain. pp.Article number 7836690, Pages 368-373 - ISBN 978-150905472-5, ⟨10.1109/ICDMW.2016.0059⟩. ⟨hal-01421878⟩

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

248

Téléchargements de fichiers

222

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD