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Author Xiaomeng Wan ♦ Milios, E. ♦ Kalyaniwalla, N. ♦ Janssen, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Couplings ♦ Computer science ♦ Intelligent networks ♦ communication network ♦ Telecommunication traffic ♦ anomaly detection ♦ Electronic mail ♦ Communication networks ♦ Resource management ♦ Cryptography ♦ Protection ♦ Intelligent agent
Abstract Communication networks, such as networks formed by phone calls and email communications, can be modeled as dynamic graphs with vertices representing agents and edges representing communications. Anomaly detection is to identify abnormal behaviour occurring in these networks. This is crucial for anti-terrorism, resource allocation and network management. The contents of the communications are often unavailable or protected by regulations or encryption, which makes linkage information the only type of data we can rely on in order to identify anomalies. In this paper, we propose a link-based anomaly detection method that considers deviations from individual patterns by taking into account the behaviour pattern of the cluster to which the individual belongs. Clusters can be formed by a standard clustering procedure or based on a specific attribute depending on the dataset. Experiments show that this method performs well on both network traffic and email communication data.
Description Author affiliation: Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS (Xiaomeng Wan; Milios, E.; Kalyaniwalla, N.; Janssen, J.)
ISBN 9780769534961
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-12-09
Publisher Place Australia
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 186.03 kB
Page Count 4
Starting Page 402
Ending Page 405

Source: IEEE Xplore Digital Library