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DCLAD: Distributed Cluster based Localization Anomaly Detection in Wireless Sensor Networks using Single Mobile Beacon

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4 Author(s)
Paladugu, Karthika ; OBR Center for Distributed and Mobile Computing, Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221-0030. Email: paladuk@ececs.uc.edu ; Santhanam, L. ; Xie, Bin ; Agrawal, D.P.

In the last few years, Wireless Sensor Networks (WSNs) have emerged as a disrupting technology for myriad military and civilian applications. They demand an accurate location of the event detected and is done by using a mobile beacon node to provide accurate location and assume a benign environment. However, in a hostile military environment, such a node can be easily tampered by an adversary. In this paper, we propose a distributed cluster based anomaly detection scheme by assigning few randomly chosen cluster heads a critical task of estimating the reliability of the mobile beacon node. As localization of remaining nodes is cautiously performed only after verifying the authenticity of the mobile beacon node, a considerable overhead is saved in the incorrect localization of the entire network. We perform extensive simulation for different attacks and observe our scheme to have a high detection rate of 99% and a very less false positive rate of 20%.

Published in:

Military Communications Conference, 2007. MILCOM 2007. IEEE

Date of Conference:

29-31 Oct. 2007