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Trust Research on Behavior Evaluation Based on Fuzzy Similarity

As the society and technology are developing, people tend to spend more time online in daily life frequently, such as shopping, reading novels, sharing files and so on. However, how to guarantee the safety of their online behaviors has been a topic of public concern, and the trust of node behaviors in the network has become one of the significant guarantees. A trust model based on fuzzy similarity is proposed in this article in accordance with the features of node behaviors. Firstly, the evaluation message is given to various nodes, and the theory of fuzzy similarity is applied to process the evaluation message. Through integrating these evaluation message, the rules of node behaviors are obtained, Besides, for the malicious and selfish nodes, the trust update algorithm is proposed. Simulation results show the effectiveness and scientific of the mode proposed.