Trust Evaluation Model Based on Fuzzy Set and D-S Evidence Theory in Wireless Sensor Network

doi:10.16182/j.issn1004731x.joss.201804003

Abstract

Abstract: A trust evaluation model based on fuzzy set and D-S evidence in wireless sensor network is proposed. Considering security requirements and energy consumption, three typical trust factors are defined to calculate node’s direct trust which is for fuzzy classification by using fuzzy set theory. Fuzzy membership function is the basic belief function of the D-S evidence theory. Indirect trust is obtained from neighbor nodes’ recommendations, the direct trust and indirect trust are fused according to Dempster combination rule after being amended with weight. The effective combination of identity-based cryptosystem and the trust management mechanism improve the security of trust information in the transmission. The analysis and simulation results show that the proposed model has good dynamic adaptability and robustness, and can identify the malicious nodes timely and accurately, so as to improve the security of the networks availably.

Key words: wireless sensor networks (WSNs), trust evaluation, fuzzy set, D-S evidence theory, cryptosystem

CLC Number:

TP393

Zhou Zhiping, Zhao Xiaoxiao, Shao Nannan. Trust Evaluation Model Based on Fuzzy Set and D-S Evidence Theory in Wireless Sensor Network[J]. Journal of System Simulation, 2018, 30(4): 1229-1236.

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