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International Conference on Networking and Services (ICNS '07)
Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique
Athens, Greece
June 19-June 25
ISBN: 0-7695-2858-9
Daniel-Ioan Curiac, Politehnica University Timisoara, Romania
Ovidiu Banias, Politehnica University Timisoara, Romania
Florin Dragan, Politehnica University Timisoara, Romania
Constantin Volosencu, Politehnica University Timisoara, Romania
Octavian Dranga, James Cook University
In this paper we propose a strategy based on past/present values provided by each sensor of a network for detecting their malicious activity. Basically, we will compare at each moment the sensor?s output with its estimated value computed by an autoregressive predictor. In case the difference between the two values is higher then a chosen threshold, the sensor node becomes suspicious and a decision block is activated.
Citation:
Daniel-Ioan Curiac, Ovidiu Banias, Florin Dragan, Constantin Volosencu, Octavian Dranga, "Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique," icns, pp.83, International Conference on Networking and Services (ICNS '07), 2007
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