A probabilistic voting-based filtering scheme in wireless sensor networks

Authors:
Feng Li;Jie Wu
Affiliations:
Florida Atlantic University, Boca Raton, FL;Florida Atlantic University, Boca Raton, FL
Venue:
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Year:
2006

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Abstract

In this paper, we study the fabricated report with false votes attack and the false votes on real reports attack in wireless sensor networks. Since most of the existing works addresses the first attack while leaving an easy way for the attackers to launch the second attack, we propose a probabilistic voting-based filtering scheme (PVFS) to deal with both of them simultaneously. On the basis of the en-route filtering scheme, PVFS combines cluster-based organization, probabilistic key assignment, and voting methods. Through both analysis and simulation, we demonstrate that PVFS could achieve strong protection against both attacks while maintaining a sufficiently high filtering power.