Distributed Malicious Nodes Detection in Wireless Sensor Networks

Abstract:

Data theft and node attack in wireless sensor networks causes great damage to the networks and the attacker destroys network and obtains the data of the network by malicious nodes distributed in the network. Therefore, it is necessary to detect these malicious nodes and to eliminate their influence. We propose a distributed malicious nodes detection protocol which called BMND based on Bayesian voting, every node determine its suspected malicious nodes by its request message and abnormal behavior. Also, we determine the malicious nodes by Bayesian voting, so that the network can protect itself from such malicious nodes influence. The simulation results show that our algorithm has good performance in both the detection rate and false positive rate.

• Periodical: Applied Mechanics and Materials (Volumes 519-520)
• Pages: 1243-1246
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.519-520.1243
• Online since: February 2014
• Authors: Zhao Hui Zhang, Ming Ming Hu, Dong Li, Xiao Gang Qi*
• Keywords: Bayesian Detection, Detection Rate, False Positive Rate, Malicious Nodes Attack, Wireless Sensor Network (WSN)

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