面向物联网轻量级隐私保护的真值发现机制

何英杰; 李启伟; 孙涵; 郜迪; 董剑峰; 杨书华

doi:10.11959/j.issn.1000-0801.2021100

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面向物联网轻量级隐私保护的真值发现机制

研究与开发 | 更新时间：2024-06-05

- 面向物联网轻量级隐私保护的真值发现机制
- A lightweight privacy-preserving truth discovery mechanism for IoT
- 电信科学 2021年37卷第5期页码：124-132
- 作者机构：
- 作者简介：
  
  [ "何英杰（1987− ），男，中国电子科技集团公司第二十二研究所高级工程师，主要研究方向为物联网通信技术" ]
  [ "李启伟（1985− ），男，中国电子科技集团公司第二十二研究所工程师，主要研究方向为通信技术和物联网通信技术" ]
  [ "孙涵（1992− ），女，中国电子科技集团公司第二十二研究所工程师，主要研究方向为物联网" ]
  [ "郜迪（1993− ），男，中国电子科技集团公司第二十二研究所工程师，主要研究方向为物联网嵌入式技术" ]
  [ "董剑峰（1993− ），男，中国电子科技集团公司第二十二研究所工程师，主要研究方向为物联网通信技术" ]
  [ "杨书华（1963− ），男，中国电子科技集团公司第二十二研究所研究员，主要研究方向为嵌入式系统和物联网技术" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021100
  中图分类号： TN918
- 网络出版日期：2021-05，
  
  纸质出版日期：2021-05-20
- 稿件说明：
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何英杰, 李启伟, 孙涵, 等. 面向物联网轻量级隐私保护的真值发现机制[J]. 电信科学, 2021,37(5):124-132.

Yingjie HE, Qiwei LI, Han SUN, et al. A lightweight privacy-preserving truth discovery mechanism for IoT[J]. Telecommunications science, 2021, 37(5): 124-132.
何英杰, 李启伟, 孙涵, 等. 面向物联网轻量级隐私保护的真值发现机制[J]. 电信科学, 2021,37(5):124-132. DOI： 10.11959/j.issn.1000-0801.2021100.

Yingjie HE, Qiwei LI, Han SUN, et al. A lightweight privacy-preserving truth discovery mechanism for IoT[J]. Telecommunications science, 2021, 37(5): 124-132. DOI： 10.11959/j.issn.1000-0801.2021100.

摘要

针对云雾融合物联网系统中感知数据的质量差异和隐私泄露问题，提出一种基于流加密模式的隐私保护真值发现机制。首先，云服务器将洗牌算法和流加密算法相结合，实现匿名更新真值；雾服务器匿名更新权重，防止恶意攻击者与云雾服务器的共谋攻击所造成的设备隐私泄露。其次，雾服务器基于 Softmax 函数计算设备权重，以减小计算真值的误差。最后，理论分析证明该机制能够保护设备隐私。实验结果表明，该机制误差率低，并在时间开销上优于已有方法，是一种适用于规模化物联网高效的真值发现机制。

Abstract

In order to solve diverse quality and privacy leakage of perceived data in fog-cloud integrated internet of things (IoT)

a streaming encryption-based privacy-preserving truth discovery mechanism for IoT was proposed.Firstly

by utilizing shuffling and streaming encryption algorithms

the ground truths and the weights were anonymously updated on the cloud server and fog server

respectively

so that the collusion attacks between malicious attackers and cloud or fog servers could be resisted to defend against privacy leakage of IoT devices.Secondly

by adopting the Softmax function

the device weights were calculated on fog server

which reduces the error rate for calculating the ground truths.Finally

the theoretical analysis proved that the mechanism could protect privacy of the devices.And

the experimental results demonstrate that the proposed mechanism is an effective privacy-preserving trust discovery mechanism for large-scale IoT devices

which can outperform existing ones in computing efficiency.

关键词

Keywords

references

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