无线传感器网络中基于组合框架的贝叶斯信任模型

摘要

This paper aimed at the traits of WSNs, and proposed a BTM-CF in WSNs. The BTM-CF protocol distinguished the direct and indirect communication, communication trust and data trust, as a result of this approach, it created the combinatorial frame to estimate trust synthetically for improving the trust factors. It utilized the Bayes theorem to deal with relationship of the data and communication trust, it also reduced the energy used for establishing, maintaining and updating trust. Through the comparison of experimental data, it slows that BTM-CF can identify selfish and embezzled nodes effectively, and the proposed arithmetic has a good robustness even when there are a huge number of malicious nodes.%针对无线传感器网络的特性,提出一种基于组合框架的贝叶斯信任模型(Bayes trust model based on combinatorial frame,BTM-CF).该模型将通信可信与数据可信、直接通信和间接通信的信任区分开来,搭建多种信任综合评估的组合框架,进一步完善信任评估的考虑因素；利用贝叶斯定理处理通信可信与数据可信之间的关系,减少了信任机制建立、维护和更新本身消耗的能量,满足了节能的需求.通过对实验结果的分析,BTM-CF能够敏感地识别自私节点或被盗用节点,当网络中存在多个节点盗用时,算法具有较好的健壮性.