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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bratus, S., Cornelius, C., Kotz, D., Peebles, D.: Active Behavioral Fingerprinting of Wireless Devices. In: Proceedings of the First ACM Conference on Wireless Network Security, pp. 56–61 (2008)
Cho, J.H., Chen, I.R., Feng, P.G.: Effect of Intrusion Detection on Failure Time of Mission-Oriented Mobile Group Systems in Mobile Ad Hoc Networks. In: 14th IEEE Pacific Rim International Symposium on Dependable Computing, Taipei, Taiwan (December 2008)
Crotti, M., Dusi, M., Gringoli, F., Salgarelli, L.: Traffic Classification through Simple Statistical Fingerprinting. SIGCOMM Computer Communication Review, 5–16 (2007)
Desmond, L.C., Yuan, C.C., Pheng, T.C., Lee, R.S.: Identifying Unique Devices Through Wireless Fingerprinting. In: Proceedings of the First ACM Conference on Wireless Network Security, pp. 46–55 (2008)
Faria, D.B., Cheriton, D.R.: Detecting Identity-Based Attacks in Wireless Networks Using Signalprints. In: Proceedings of the 5th ACM Workshop on Wireless Security, pp. 43–52 (2006)
Frincke, D.: Balancing Cooperation and Risk in Intrusion Detection. ACM Transactions on Information and System Security, 1–29 (2000)
Le, T., Canovas, C., Clédière, J.: An Overview of Side Channel Analysis Attacks. In: Proceedings of the 2008 ACM Symposium on Information, Computer and Communications Security, pp. 33–43 (2008)
Pang, J., Greenstein, B., Gummadi, R., Seshan, S., Wetherall, D.: 802.11 User Fingerprinting. In: Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking, pp. 99–110 (2007)
Patwari, N., Kasera, S.K.: Robust Location Distinction Using Temporal Link Signatures. In: Proceedings of the 13th Annual ACM International Conference on Mobile Computing and Networking, pp. 111–122 (2007)
Sheng, Y., Tan, K., Chen, G., Kotz, D., Campbell, A.: Detecting 802.11 MAC Layer Spoofing Using Received Signal Strength. In: INFOCOM 2008, pp. 1768–1776 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Mitchell, R., Chen, IR., Eltoweissy, M. (2010). Signalprint-Based Intrusion Detection in Wireless Networks. In: Gu, Q., Zang, W., Yu, M. (eds) Security in Emerging Wireless Communication and Networking Systems. SEWCN 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11526-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-11526-4_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11525-7
Online ISBN: 978-3-642-11526-4
eBook Packages: Computer ScienceComputer Science (R0)