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

Lin ZHANG; Xinyan WEI; Xiping LIU; Haiping HUANG; Ruchuan WANG

doi:10.11959/j.issn.1000-436x.2022024

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

Papers | 更新时间：2024-06-05

- Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback
- Journal on Communications Vol. 43, Issue 2, Pages: 118-130(2022)
- 作者机构：
  
  1. 南京邮电大学计算机学院，江苏南京 210003
  2. 江苏省无线传感网高技术研究重点实验室，江苏南京 210003
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61572260);The National Natural Science Foundation of China(61872196);The National Natural Science Foundation of China(61872194);Scientific and Technological Support Project of Jiangsu Province(BE2017166)
- DOI：10.11959/j.issn.1000-436x.2022024
  CLC： TP393
- Online First：2022-02，
  
  Published：25 February 2022
- 稿件说明：
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Lin ZHANG, Xinyan WEI, Xiping LIU, et al. Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback[J]. Journal on Communications, 2022, 43(2): 118-130.
DOI：

Lin ZHANG, Xinyan WEI, Xiping LIU, et al. Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback[J]. Journal on Communications, 2022, 43(2): 118-130. DOI： 10.11959/j.issn.1000-436x.2022024.

摘要

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。

Abstract

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.

关键词

Keywords

references

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