移动群智感知中基于雾节点协作的感知用户身份隐私保护

刘慧; 毕仁万; 熊金波; 赵明烽; 金彪; 林劼

doi:10.11959/j.issn.2096-109x.2019056

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移动群智感知中基于雾节点协作的感知用户身份隐私保护

学术论文 | 更新时间：2024-06-03

- 移动群智感知中基于雾节点协作的感知用户身份隐私保护
- Fog-aided identity privacy protection scheme for sensing users in mobile crowd sensing
- 网络与信息安全学报 2019年5卷第6期页码：75-84
- 作者机构：
  
  1. 福建师范大学数学与信息学院，福建福州 350117
  2. 福建省网络安全与密码技术重点实验室，福建福州 350007
- 作者简介：
  
  [ "刘慧（1994- ），女，山西吕梁人，福建师范大学硕士生，主要研究方向为隐私保护技术" ]
  [ "毕仁万（1996- ），男，湖南常德人，福建师范大学硕士生，主要研究方向为隐私度量、隐私保护" ]
  [ "熊金波（1981- ），男，湖南益阳人，博士，福建师范大学副教授，主要研究方向为物联网数据安全、隐私保护技术" ]
  [ "赵明烽（1996- ），男，江苏张家港人，福建师范大学硕士生，主要研究方向为云数据安全与隐私保护" ]
  [ "金彪（1985- ），男，安徽六安人，福建师范大学讲师，主要研究方向为信息地理" ]
  [ "林劼（1972- ），男，福建三明人，博士，福建师范大学副教授，主要研究方向为生物信息学、序列分析与算法" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61872088);国家自然科学基金资助项目;The National Natural Science Foundation of China(61872090);福建省自然科学基金资助项目;The Natural Science Foundation of Fujian Province(2019J01276);信息网络安全公安部重点实验室开放课题资助项目;Key Lab of Information Network Security,Ministry of Public Security(C18602)
- DOI：10.11959/j.issn.2096-109x.2019056
  中图分类号： TP393
- 网络首发：2019-12，
  
  纸质出版：2019-12-15
- 稿件说明：
移动端阅览
刘慧, 毕仁万, 熊金波, 等. 移动群智感知中基于雾节点协作的感知用户身份隐私保护[J]. 网络与信息安全学报, 2019,5(6):75-84.

Hui LIU, Renwan BI, Jinbo XIONG, et al. Fog-aided identity privacy protection scheme for sensing users in mobile crowd sensing[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 75-84.
刘慧, 毕仁万, 熊金波, 等. 移动群智感知中基于雾节点协作的感知用户身份隐私保护[J]. 网络与信息安全学报, 2019,5(6):75-84. DOI： 10.11959/j.issn.2096-109x.2019056.

Hui LIU, Renwan BI, Jinbo XIONG, et al. Fog-aided identity privacy protection scheme for sensing users in mobile crowd sensing[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 75-84. DOI： 10.11959/j.issn.2096-109x.2019056.

摘要

在移动群智感知中，攻击者可利用感知用户间的社交关联信息以及感知用户身份信息与感知数据的关联性重构感知用户间的社交圈，进一步攻击用户社交团体。针对这一问题，提出一种基于雾节点协作的感知用户身份隐私保护方案。首先，创建任务分配中心（TC）和数据中心（DC），并由位于终端边缘的2个雾节点承载，分别处理感知任务的合理分配问题和感知数据的聚合计算问题；然后，通过差分隐私加噪干扰防御攻击者获取感知用户间具体的社交关联权重；最后，感知用户使用不同的盲身份分别与TC和DC通信，防止攻击者同时获取感知用户的身份信息和感知数据。安全分析表明，所提方案可以确保感知用户在完成感知任务过程中的身份隐私信息安全。实验结果显示，所提方案可以有效保护感知用户间的社交关联信息，且具有较低的时延。

Abstract

In mobile crowd sensing(MCS)

attackers can reconstruct the social circle among sensing users

who use the social association information among sensing users and the correlation between the sensing user’s identity and sensing data to further attack a social alliance.In order to tackle this issue

a fog-aided identity privacy protection scheme is proposed.Firstly

two fog nodes are introduced which located at the edge of the sensing terminal.The one is task allocation center (TC) for handling the reasonable allocation of sensing tasks

and the other is data center (DC) for calculating sensing data.Furthermore

differential privacy is employed for preventing attackers from acquiring the specific social association weight of sensing users.Finally

in order to prevent attackers from obtaining the sensing users' identity information and sensing data at the same time

sensing users use different blind identities to communicate with TC and DC.Security analysis indicates that the proposed scheme can ensure the security of identity privacy information of sensing users in the process of completing sensing tasks.Experimental results show that the proposed scheme can protect the social association information between sensing users

and has a low delay.

关键词

Keywords

references

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