Ranger intrusion detection system for wireless sensor networks with Sybil attack based on ontology

Authors:
Rung-Ching Chen;Yung-Fa Haung;Chia-Fen Hsieh
Affiliations:
College of Informatics, Chaoyang University of Technology, Taichung County, Taiwan, R.O.C.;Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung County, Taiwan, R.O.C.;Graduate Institute of Informatics, Chaoyang University of Technology, Taichung County, Taiwan, R.O.C.
Venue:
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
Year:
2010

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Abstract

In recent years, many researches concern with the wireless sensor networks (WSN). With the increasing usage of WSN application such as health care and disaster reporting, security requirements for wireless communication have become more critical. Researchers of intrusion detection system on WSN have suggested that systems' detecting mechanisms would likely affect their detection effective and lifetime of whole networks. However, research which has empirically documented the link between ontology concept and light-weight IDS is scant. Therefore, the aim of this paper attempts to explore how ontology concept mechanisms about anomaly detection and light-weight IDS are related. The manager constructs ontology on sensor nodes relationship to detect Sybil attack. The light-weight IDS combines the ranger method to reduce energy consumption and the isolation tables avoid detecting anomaly repeatedly. Our research proposes a lightweight ranger IDS, which improves existence shortcomings of IDS on WSN effectively.