Anomaly detection in vessel tracking: a Bayesian Networks (BNs) approach

• Main Authors: Handayani, Dini, Sediono, Wahju
• Format: Article
• Language: English; English
• Published: Transactions of The Royal Institution of Naval Architects. 2015
• Subjects: TK7885 Computer engineering; V Naval Science (General)
• Online Access: http://irep.iium.edu.my/42799/1/46.ANOMALY_DETECTION_BAYESIAN_NETWORKS_APPROACH.ijme.2015.pdf; http://irep.iium.edu.my/42799/4/42799_anomaly_detection_in_vessel_tracking_Scopus.pdf; http://irep.iium.edu.my/42799/; http://www.rina.org.uk/ijme.html

The paper describes the supervised method approach to identifying vessel anomaly behaviour. The vessel anomaly behaviour is determined by learning from self-reporting maritime systems based on the Automatic Identification System (AIS). The AIS is a real world vessel reporting data system, which ha...