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针对现有的信任模型对节点行为改变的动态适应能力不足,在研究前人提出的信任模型基础上,提出了一种分布式环境下的信任模型。该模型通过综合节点之间的交易历史行为和交易评价信息,提出用局部声誉,评价信任度,全局声誉,信任度中用权重因子来概况模型,使该模型更真实化,有效化。仿真实验表明,与已有的信任模型相比,提出的模型具有更好的动态适应能力,能够有效处理动态恶意节点策略性的行为改变和不诚实反馈对系统的攻击。
In view of the lack of dynamic adaptability of the existing trust model to node behavior change, this paper proposes a trust model in distributed environment based on the trust model proposed by the predecessors. This model proposes a generalization model using weight factors in local reputation, appraisal trust, global reputation and trust by synthesizing transaction history behavior and transaction evaluation information between nodes, which makes the model more realistic and effective. The simulation results show that compared with the existing trust model, the proposed model has better dynamic adaptability and can effectively deal with the strategic change of malicious nodes and dishonest feedback attacks on the system.