NDLI: A Weighted-Dissimilarity-Based Anomaly Detection Method for Mobile Wireless Networks

Content Provider	IEEE Xplore Digital Library
Author	Ihn-Han Bae Olariu, S.
Copyright Year	2009
Abstract	Mobile wireless networks continue to be plagued by theft of identity and intrusion. Both problems can be addressed in two different ways, either by misuse detection or anomaly-based detection. In this paper, we propose a weighted-dissimilarity-based anomaly detection method that can effectively identify abnormal behavior such as mobility patterns of mobile wireless networks. In the proposed algorithm, a normal profile is constructed from normal mobility patterns of mobile nodes in mobile wireless networks. From the constructed normal profile, the dissimilarity is computed by a weighted dissimilarity measure. If the computed dissimilarity value is greater than the dissimilarity threshold that is a system parameter, an alert message is occurred. The performance of the proposed method is evaluated through a simulation. From the result of the simulation, we know that the proposed method is superior to the performance of anomaly detection methods using other dissimilarity measures.
Starting Page	29
Ending Page	34
File Size	923779
Page Count	6
File Format	PDF
ISBN	9781424453344
DOI	10.1109/CSE.2009.72
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Weight measurement Computational modeling Mobility Pattern Cellular networks Computer science Anomaly Detection Wireless networks Authentication Intrusion detection Dissimilarity Measures Mobile Wireless Networks Computer networks Pollution measurement Mobile computing
Content Type	Text
Resource Type	Article

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