Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique

  • Authors:
  • Daniel-Ioan Curiac;Ovidiu Banias;Florin Dragan;Constantin Volosencu;Octavian Dranga

  • Affiliations:
  • Politehnica University Timisoara, Romania;Politehnica University Timisoara, Romania;Politehnica University Timisoara, Romania;Politehnica University Timisoara, Romania;James Cook University

  • Venue:
  • ICNS '07 Proceedings of the Third International Conference on Networking and Services
  • Year:
  • 2007

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Abstract

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.