A complex event processing approach to detect abnormal behaviours in the marine environment

Fernando Terroso-Saenz (), Mercedes Valdes-Vela () and Antonio F. Skarmeta-Gomez ()
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Fernando Terroso-Saenz: University of Murcia
Mercedes Valdes-Vela: University of Murcia
Antonio F. Skarmeta-Gomez: University of Murcia

Information Systems Frontiers, 2016, vol. 18, issue 4, No 9, 765-780

Abstract: Abstract Over the last years, many data-sources have become available to monitor the marine traffic. This has motivated the development of support systems to automatically detect vessels’ behaviours of interest. The present work states a novel approach in this domain following the Complex Event Processing (CEP) paradigm. As a proof of concept, a CEP-based system has been developed to timely detect a set of vessel’s abnormal behaviours by performing an event-based processing of Automatic Identification System data. Experiments based on real-world and synthetic data proved the suitability and feasibility of the proposal.

Keywords: Complex event processing; Abnormal behaviour; Automated identification system; Vessel traffic service (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s10796-015-9560-7

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