基于协作信誉和设备反馈的物联网边缘服务器信任评估算法

针对边缘服务器的安全问题，提出了一种集成了服务器协作信誉以及设备用户反馈的信任评估算法来提高边缘计算上下文的安全性。交互过程中，使用了一种基于客观信息熵理论的融合算法来聚合服务器间的协作信誉，同时采用了部分同态加密算法来防止交互过程中用户数据的泄露。交互结束后，选择高可信的设备节点计算反馈信任，克服了传统机制的恶意反馈。在计算全局信任时，考虑了服务器的期望评分和自适应的权重计算算法，克服了传统信任方案的局限性。实验结果表明，所提信任度计算方案具有较低的时间复杂度和空间复杂度，并且可以有效抵抗恶意节点的攻击行为。

Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback

Aiming at the security problem of edge server, a trust evaluation algorithm was proposed, which integrated server cooperation reputation and device user feedback to improve the security of edge computing context. In the process of interaction, a fusion algorithm based on objective information entropy theory was used to aggregate the cooperation reputation between servers, and a partial homomorphic encryption algorithm was used to prevent the leakage of user data in the process of interaction. After the interaction, the highly trusted device node was selected to calculate the feedback trust, which overcame the malicious feedback of the traditional mechanism. When calculating the global trust, the expected score of the server and the adaptive weight calculation method were considered, which overcame the limitations of the traditional trust scheme. The experimental results show that the proposed trust calculation scheme has low time complexity and spatial complexity, and can effectively resist the attack of malicious nodes.