A novel anomaly detection procedure is presented, based on the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process. The considered anomaly is a vessel that deviates from a planned route, changing its nominal velocity. In order to hide this behavior, the vessel switches off its Automatic Identification System (AIS) device for a certain time, and then tries to revert to the previous nominal velocity. The decision that has to be taken is either declaring that a deviation happened or not, relying only upon two consecutive AIS contacts. A proper statistical hypothesis testing procedure that builds on the changes in the OU process long-term velocity parameter of the vessel is the core of the proposed approach and enables for the solution of the anomaly detection problem.
Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario / Enrica d'Afflisio. - ELETTRONICO. - (2018), pp. 0-0. (Intervento presentato al convegno 2018 21st International Conference on Information Fusion (FUSION) tenutosi a Cambridge, UK nel 10-13 July 2018) [10.23919/ICIF.2018.8455854].
Maritime Anomaly Detection Based on Mean-Reverting Stochastic Processes Applied to a Real-World Scenario
Enrica d'Afflisio
2018
Abstract
A novel anomaly detection procedure is presented, based on the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process. The considered anomaly is a vessel that deviates from a planned route, changing its nominal velocity. In order to hide this behavior, the vessel switches off its Automatic Identification System (AIS) device for a certain time, and then tries to revert to the previous nominal velocity. The decision that has to be taken is either declaring that a deviation happened or not, relying only upon two consecutive AIS contacts. A proper statistical hypothesis testing procedure that builds on the changes in the OU process long-term velocity parameter of the vessel is the core of the proposed approach and enables for the solution of the anomaly detection problem.File | Dimensione | Formato | |
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