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

张琳; 魏新艳; 刘茜萍; 黄海平; 王汝传

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

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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

学术论文 | 更新时间：2024-06-05

- 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
- Trust evaluation algorithm of IoT edge server based on cooperation reputation and device feedback
- 通信学报 2022年43卷第2期页码：118-130
- 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：
  
  [ "张琳（1980-），女，江苏丰县人，博士，南京邮电大学副教授、硕士生导师，主要研究方向为网络安全、可信计算、隐私保护等" ]
  [ "魏新艳（1993-），女，江苏宿迁人，南京邮电大学硕士生，主要研究方向为网络安全、可信计算等" ]
  [ "刘茜萍（1981-），女，四川攀枝花人，博士，南京邮电大学副教授、硕士生导师，主要研究方向为分布式计算、服务计算等" ]
  [ "黄海平（1981-），女，福建三明人，博士，南京邮电大学教授、博士生导师，主要研究方向为物联网、网络安全、隐私保护等" ]
  [ "王汝传（1943-），男，安徽合肥人，南京邮电大学教授、博士生导师，主要研究方向为计算机软件、计算机网络和网格、信息安全、无线传感器网络等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61572260);国家自然科学基金资助项目(61872196);国家自然科学基金资助项目(61872194);江苏省科技支撑计划基金资助项目(BE2017166)
- DOI：10.11959/j.issn.1000-436x.2022024
  中图分类号： TP393
- 网络首发：2022-02，
  
  纸质出版：2022-02-25
- 稿件说明：
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张琳, 魏新艳, 刘茜萍, 等. 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[J]. 通信学报, 2022,43(2):118-130.

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.
张琳, 魏新艳, 刘茜萍, 等. 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[J]. 通信学报, 2022,43(2):118-130. DOI： 10.11959/j.issn.1000-436x.2022024.

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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