NDLI: Design and Evaluation of a Dynamic Anomaly Detection Scheme Using the Age of User Profiles

Content Provider	IEEE Xplore Digital Library
Author	Ihn-Han Bae Hwa-Ju Lee Kyung-Sook Lee
Copyright Year	2007
Description	Author affiliation: Catholic Univ. of Daegu, Daegu (Ihn-Han Bae; Hwa-Ju Lee; Kyung-Sook Lee)
Abstract	The rapid proliferation of wireless networks and mobile computing applications has changed the landscape of network security. Anomaly detection is a pattern recognition task whose goal is to report the occurrence of abnormal or unknown behavior in a given system being monitored. This paper presents a dynamic anomaly detection scheme 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 both the age of the user profile and weighted feature values. The performance of our scheme is evaluated by using a simulation.
Starting Page	136
Ending Page	140
File Size	378675
Page Count	5
File Format	PDF
ISBN	9780769528748
DOI	10.1109/FSKD.2007.241
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cellular networks Fuzzy sets Wireless networks Intrusion detection Rough sets Authentication Computer applications Mobile communication Computer networks Mobile computing
Content Type	Text
Resource Type	Article

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