Research Article
Signalprint-Based Intrusion Detection in Wireless Networks
@INPROCEEDINGS{10.1007/978-3-642-11526-4_7, author={Rob Mitchell and Ing-Ray Chen and Mohamed Eltoweissy}, title={Signalprint-Based Intrusion Detection in Wireless Networks}, proceedings={Security in Emerging Wireless Communication and Networking Systems. First International ICST Workshop, SEWCN 2009, Athens, Greece, September 14, 2009, Revised Selected Papers}, proceedings_a={SEWCN}, year={2012}, month={5}, keywords={intrusion detection wireless networks Signalprints identity-based attacks performance analysis}, doi={10.1007/978-3-642-11526-4_7} }- Rob Mitchell
Ing-Ray Chen
Mohamed Eltoweissy
Year: 2012
Signalprint-Based Intrusion Detection in Wireless Networks
SEWCN
Springer
DOI: 10.1007/978-3-642-11526-4_7
Abstract
Wireless networks are a critical part of global communication for which intrusion detection techniques should be applied to secure network access, or the cost associated with successful attacks will overshadow the benefits that wireless networks offer. In this paper we investigate a new scheme called Nodeprints to extend the existing centralized Signalprints design for authentication to a distributed voting-based design for intrusion detection. We analyze the effect of voting-based intrusion detection designs, the probability of an individual node voting incorrectly, the ratio of mobile nodes to base stations, and the rate at which nodes are compromised, on the system performance measured by the probability that the intrusion detection system yields a false result. We develop a performance model for evaluating our Nodeprints design and identify conditions under which Nodeprints outperforms the existing Signalprints design.
