针对无线传感器网络面临的内部攻击, 结合现有经典的信任机制, 提出一种基于信任度的信任模型。模型由信任度计算、信任管理及信任决策3层组成。以信任度计算为核心, 将直接信任度、间接信任度以及能量信任度合成综合信任度。采用周期更新信任度的方式, 降低网络能量消耗。设定信任度阈值进行信任决策, 高效地辨别出恶意节点和老化节点, 保证网络的安全性和可靠性。仿真实验表明, 该模型能够有效检测恶意节点, 具有较高的检测率, 同时很大程度上降低了整个网络的能量消耗。

To solve the internal attack problem of the wireless sensor network, this paper proposes a credibility-based trust model by using the existing classical credibility mechanism. The model consists of three levels: credibility calculation, trust management and trust decision-making. Credibility calculation is the core of this model. The direct credibility, indirect credibility and energy credibility are combined to form a comprehensive credibility. The network energy consumption is reduced by updating the credibility regularly. The credibility threshold is set to make trust decisions, and effectively distinguish malicious nodes and aging nodes, thus to ensure the security and reliability of the network. The simulation results show that the model can detect malicious nodes effectively, has a high detection rate, and greatly reduces the energy consumption of the whole network.