An Approach to Defend Global Eavesdropper in Sensor Networks

Abstract

The wireless sensor networks are used in tracking and monitoring objects. Owing to the wireless nature of communication, the adversary eavesdrops and back traces the origin of the message. The detection of source location information threatens the source node as well as the monitored object and reduces the functionality of the network. Existing approaches hide the location of the source node with fake packets, which is not a cost effective solution for resource-limited sensor networks. Therefore in this work, virtual source-α approach prevents the adversaries from tracing the source location. The virtual source-α approach is based on virtual source based approach which efficiently handles the realistic global eavesdropper. The performance of this approach is compared with the periodic collection and the source simulation approach with respect to the network and source location privacy. The simulation results show that virtual source-α approach performs better than the existing approaches.