A robust iterative filtering technique for wireless sensor networks in the presence of malicious attacks

  • Authors:
  • Mohsen Rezvani;Aleksandar Ignjatovic;Elisa Bertino;Sanjay Jha

  • Affiliations:
  • University of New South Wales;University of New South Wales;Purdue University;University of New South Wales

  • Venue:
  • Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
  • Year:
  • 2013

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Abstract

In this paper we introduce a novel sophisticated collusion attack scenario against a number of existing iterative filtering algorithms. To address this security issue, we propose an improvement for iterative filtering techniques by providing an initial approximation for such algorithms which makes them not only collusion robust, but also more accurate and faster converging.