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在分析了信任评估过程中攻击手段及其相互间关系的基础上,提出了基于贝叶斯决策理论的根据推荐偏差度修正对推荐的信任度方法.使用贝塔分布描述推荐偏差度,依据最小损失原则修正对推荐的信任度,并将具备推荐信任修正机制的信任模型运用在自组网的路由协议中,以便优化路由选择.MATLAB下的仿真结果表明,该方法能够有效抵御一些针对信任管理的威胁并提升信任管理的正确率,进而提高自组网环境下检测恶意节点的效率.
Based on the analysis of the means of attack and their mutual relations in the process of trust assessment, a method based on Bayesian decision-making theory is proposed to correct the recommendation trustworthiness according to the recommendation bias. The Beta bias is used to describe the recommendation bias and the minimum loss In principle, the trust of recommendation is modified, and the trust model with recommended trust correction mechanism is applied to the ad hoc network routing protocol to optimize the routing. The simulation results under MATLAB show that this method can effectively resist some trust management Threaten and improve the correctness of trust management, thus improving the efficiency of detecting malicious nodes in ad hoc networks.