A Rough Set Based Anomaly Detection Scheme Considering the Age of User Profiles

Authors:
Ihn-Han Bae
Affiliations:
School of Computer and Information Communication Eng.,Catholic University of Daegu, GyeongSan 712-702, Korea
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

Citing 4
Cited 0

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Abstract

This paper presents an efficient rough set based anomaly detection method that can effectively identify a group of especially harmful internal attackers --- masqueraders in cellular mobile networks. Our scheme uses the trace data of wireless application layer by a user as feature value. Based on this, the use pattern of a mobile's user can be captured by rough sets, and the abnormal behavior of the mobile can be also detected effectively by applying a roughness membership function with the age of the user profile.