A lightweight trust management based on Bayesian and Entropy for wireless sensor networks

• DOI: 10.1002/sec.969
• Publication Date: 2014-03-21T08:18:57Z
• Authors: Shenyun Che; Renjian Feng; Xuan Liang; Xiao Wang
• Keywords: Adaptability

ABSTRACT With the rapid development of wireless sensor networks, issue designing a reasonable trust management has attracted more and research attention. Based on Bayesian Entropy, this paper proposes lightweight for networks. First, evaluated node's direct value is calculated by periodically updated according to combination effective history records adaptive decay factor. We use rather than all save nodes’ memory, factor enhances algorithm's accuracy dynamic. Then, confidence level value, we decide whether credible enough be integrated trust. This can reduce energy computation make algorithm lightweight. Last, if not enough, overall indirect will calculated. The Entropy Theory adopted distribute weights different values, which improve problems caused distributing subjectively also enhance adaptability model. Simulation experiments are provided assess performance proposed in terms attack–defeat ability consumption. Copyright © 2014 John Wiley & Sons, Ltd.