Journal of System Simulation
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.
Recommended Citation
Zhou, Zhiping; Zhao, Xiaoxiao; and Shao, Nannan
(2019)
"Trust Evaluation Model Based on Fuzzy Set and D-S Evidence Theory in Wireless Sensor Network,"
Journal of System Simulation: Vol. 30:
Iss.
4, Article 3.
DOI: 10.16182/j.issn1004731x.joss.201804003
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/3
First Page
1229
Revised Date
2016-07-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201804003
Last Page
1236
CLC
TP393
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.201804003
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