Adaptive security level for data aggregation in wireless sensor networks

  • Authors:
  • Nabila Labraoui;Mourad Gueroui;Makhlouf Aliouat;Jonathan Petit

  • Affiliations:
  • STIC, University of Tlemcen, Algeria;PRISM, University of Versailles, France;University of Setif, Algeria;IRIT, University of Paul Sabatier, Toulouse, France

  • Venue:
  • ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
  • Year:
  • 2010

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Abstract

This work introduces a novel secure data aggregation framework for Wireless Sensor Networks. It ensures the accuracy of data aggregation value without neglecting energy efficiency, even if all aggregator nodes and some of sensors are compromised in the network. Compared to available solutions in which malicious data aggregation result is rejected by base station and then all steps in aggregation process are cancelled resulting in wasting valuable network resource, our framework relies on adaptive monitoring mechanism that can always provide base station by the correct aggregate result reducing thus total data rejection and providing much higher availability than other security protocols.