DocumentCode :
539173
Title :
Evaluating precise and imprecise State-Based Anomaly detectors for maritime surveillance
Author :
Brax, C. ; Karlsson, A. ; Andler, S.F. ; Johansson, R. ; Niklasson, L.
Author_Institution :
Inf. Res. Centre, Univ. of Skovde, Skövde, Sweden
fYear :
2010
fDate :
26-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
We extend the State-Based Anomaly Detection approach by introducing precise and imprecise anomaly detectors using the Bayesian and credal combination operators, where evidences over time are combined into a joint evidence. We use imprecision in order to represent the sensitivity of the classification regarding an object being normal or anomalous. We evaluate the detectors on a real-world maritime dataset containing recorded AIS data and show that the anomaly detectors outperform previously proposed detectors based on Gaussian mixture models and kernel density estimators. We also show that our introduced anomaly detectors perform slightly better than the State-Based Anomaly Detection approach with a sliding window.
Keywords :
Gaussian processes; marine engineering; security of data; AIS data; Bayesian operator; Gaussian mixture models; credal combination operator; kernel density estimators; maritime surveillance; real-world maritime dataset; sliding window; state-based anomaly detection; state-based anomaly detectors; Bayesian methods; Biological system modeling; Delay; Detectors; Equations; Joints; Mathematical model; Anomaly detection; Bayesian combination operator; credal combination operator; maritime surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
Type :
conf
DOI :
10.1109/ICIF.2010.5711997
Filename :
5711997
Link To Document :
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