Abstract: The problem is considered under a global eavesdropper who analyses low level RF transmission attributes, such as the number of transmitted packets, inter-packet times, and traffic directionality, to infer event location, its occurrence time, and the sink location. We devise a general traffic analysis method for inferring contextual information by correlating transmission times with eavesdropping locations. we propose resource-efficient traffic normalization schemes. In comparison to the state-of-the-art, our methods reduce the communication overhead by more than 50%; and the end-to end delay by more than 30%.
Keywords: Wireless Sensor Networks, Sensor Networks, Location Monitoring, eavesdropping.
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DOI:
10.17148/IJARCCE.2018.784
[1] Rozina Barveen.K, Dr. S.J.Sathish Aaron Joseph, "Detect Eavesdropper and Traffic Analysis in Wireless Sensor Network to Measuring Global Warming," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.784
