Lightweight anomaly intrusion detection in wireless sensor networks

Authors:
Haiguang Chen;Peng Han;Xi Zhou;Chuanshan Gao
Affiliations:
Mathematic and Science College, Shanghai Normal University, Shanghai, P.R. China and Dept. of Computer Science and Engineering, Fudan University, Shanghai, P.R. China;Dept. of Computer Science and Engineering, Fudan University, Shanghai, P.R. China;Dept. of Computer Science and Engineering, Fudan University, Shanghai, P.R. China;Dept. of Computer Science and Engineering, Fudan University, Shanghai, P.R. China
Venue:
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
Year:
2007

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Abstract

Wireless Sensor Networks (WSNs) have an excellent application to monitor environments such as military surveillance and forest fire. However, WSNs are of interest to adversaries in many scenarios. They are susceptible to some types of attacks because they are deployed in open and unprotected environments. The WSNs are constituted of scarce resource devices. These security mechanisms which used for wired networks cannot be transferred directly to wireless sensor networks. In this paper we propose lightweight anomaly intrusions detection. In the scheme, we investigate different key features for WSNs and define some rules to building an efficient, accurate and effective Intrusion Detection Systems (IDSs). We also propose a moving window function method to gather the current activity data. The scheme fits the demands and restrictions of WSNs. The scheme does not need any cooperation among monitor nodes. Simulation results show that we proposed IDSs is efficient and accurate in detecting different kinds of attacks.