Intrusion Detection in Pervasive Networks Based on a Chi-Square Statistic Test

Authors:
Bo Zhou;Qi Shi;Madjid Merabti
Affiliations:
Liverpool John Moores University, UK;Liverpool John Moores University, UK;Liverpool John Moores University, UK
Venue:
COMPSAC '06 Proceedings of the 30th Annual International Computer Software and Applications Conference - Volume 02
Year:
2006

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Abstract

In our previous work we proposed a Service-oriented and User-centric Intrusion Detection System (SUIDS) for pervasive/ubiquitous computing. SUIDS meets the special requirements of pervasive computing by adopting a flexible system architecture and user-centric auditing mechanism. In this paper we present the detection methods and experiment results of SUIDS. Specifically, the paper shows how a smoothing constant is used in a user profile to represent the user's short-term behavior in real-time; and how the deviations between a user's short-term and long-term behaviors are measured by using a chi-square statistic test. As a result, SUIDS effectively achieved real-time intrusion detection in pervasive computing, with a lightweight, adaptive and heterogeneous system design.