Towards Case-Based Reasoning for Maritime Anomaly Detection – A Positioning Paper

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Authors
  1. Guyard, A.B.
  2. Roy, J.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Maritime domain operators/analysts around the world have a mandate to keep watch on what is happening on seas, oceans and other navigable waterways. Part of this mandate involves detecting situations which are anomalous and represent a potential risk or threat. Anomaly detection requires the analysis of a large amount of data, that surpasses the treatment capacity of human beings. Automated reasoning can help the analysts identify anomalies hidden in the recognized maritime picture. This paper presents case-based reasoning (CBR) and discusses how it can be applied to maritime anomaly detection. Advantages of CBR over other reasoning approaches are discussed as well as challenges relative to tailoring a CBR system for anomaly detection. Potential solutions for every challenge are discussed. Details of a way ahead for a CBR prototype development are given.
Report Number
DRDC-VALCARTIER-SL-2009-402 — Scientific Literature
Date of publication
02 Nov 2009
Number of Pages
7
DSTKIM No
CA033348
CANDIS No
532655
Format(s):
Document Image stored on Optical Disk

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