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Design of an Intrusion Detection System for Wireless Sensor Networks

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Abstract:

Wireless Sensor Networks (WSNs) have recently attracted a lot of interest in the research community for their wide range of applications. However, the WSN is vulnerable to numerous security attacks due to its features of open medium and dynamic topology. Many of the intrusion detection techniques developed on a fixed wired network are not applicable for WSNs. In this paper, we first propose a distributed and hierarchical intrusion detection system. There are mainly three entities exist in the system, which include Monitor, Communicator and Detector. The functionalities of these entities are described in detail. Then, a machine learning method using Hidden Markov Models is brought forward to detect abnormal events. Triple information is extracted from network traffic to train and test models, and the RP (Relative Probability) value is computed to classify normal and abnormal behaviors. The process of training and detection is introduced detailedly. Experiments demonstrate that the system is useful and effective to detect intrusive actions.

Keywords: DISTRIBUTED; HIDDEN MARKOV MODELS; HIERARCHICAL; INTRUSION DETECTION SYSTEM; WIRELESS SENSOR NETWORK

Document Type: Research Article

DOI: https://doi.org/10.1166/sl.2011.1530

Publication date: 2011-10-01

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