基于隐私度和稳定度的D2D数据共享伙伴选择机制

黄章健; 叶帼华; 姚志强

doi:10.11959/j.issn.2096-109x.2019060

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基于隐私度和稳定度的D2D数据共享伙伴选择机制

学术论文 | 更新时间：2024-06-03

- 基于隐私度和稳定度的D2D数据共享伙伴选择机制
- D2D data sharing partner selection mechanism based on privacy degree and stability degree
- 网络与信息安全学报 2019年5卷第6期页码：31-41
- 作者机构：
  
  1. 福建师范大学数学与信息学院，福建福州 350117
  2. 福建省公共服务大数据挖掘与应用工程技术研究中心，福建福州 350117
- 作者简介：
  
  [ "黄章健（1994- ），男，安徽六安人，福建师范大学硕士生，主要研究方向为云计算与安全服务" ]
  [ "叶帼华（1976- ），女，福建霞浦人，福建师范大学副教授，主要研究方向为大数据安全隐私保护和信息安全。 " ]
  [ "姚志强（1967- ），男，福建莆田人，博士，福建师范大学教授、博士生导师，主要研究方向为大数据安全隐私保护、多媒体安全、应用安全" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61872090);国家自然科学基金资助项目;The National Natural Science Foundation of China(61370078)
- DOI：10.11959/j.issn.2096-109x.2019060
  中图分类号： TP393
- 网络首发：2019-12，
  
  纸质出版：2019-12-15
- 稿件说明：
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黄章健, 叶帼华, 姚志强. 基于隐私度和稳定度的D2D数据共享伙伴选择机制[J]. 网络与信息安全学报, 2019,5(6):31-41.

Zhangjian HUANG, Guohua YE, Zhiqiang YAO. D2D data sharing partner selection mechanism based on privacy degree and stability degree[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 31-41.
黄章健, 叶帼华, 姚志强. 基于隐私度和稳定度的D2D数据共享伙伴选择机制[J]. 网络与信息安全学报, 2019,5(6):31-41. DOI： 10.11959/j.issn.2096-109x.2019060.

Zhangjian HUANG, Guohua YE, Zhiqiang YAO. D2D data sharing partner selection mechanism based on privacy degree and stability degree[J]. Chinese Journal of Network and Information Security, 2019, 5(6): 31-41. DOI： 10.11959/j.issn.2096-109x.2019060.

摘要

设备到设备（D2D）数据共享已经成为一种很有前途的卸载蜂窝网络流量的解决方案，但数据共享伙伴的隐私脆弱性和服务不稳定性影响着共享服务的质量。针对这个问题，提出一种基于隐私度和稳定度的D2D数据共享伙伴选择机制（PSUS）。首先对提供者的隐私信息进行抽象和概括，根据提供者的隐私偏好和历史共享记录构建隐私度量的方法，得出提供者在不同共享服务中的隐私度；然后基于隐私度来设计数据共享过程，提供者在隐私偏好约束下缓存数据并在隐私度低的时候参与共享服务以满足提供者的隐私要求；最后在已满足隐私要求的提供者的基础上，设计一种多指标评价法来评估提供者的服务稳定性以选择稳定的共享伙伴。通过性能分析，证明所提机制的可行性。

Abstract

Device to device (D2D) data sharing has become a promising solution to offload cellular network traffic

but the privacy vulnerability and service instability of data sharing partners affect the quality of shared services.To solve this problem

a D2D data sharing partner selection mechanism based on degree of privacy degree and stability degree (named PSUS) was proposed.Firstly

the privacy information of the provider was abstracted and summarized

and the privacy measurement method was built according to the privacy preferences of the provider and the historical records of shared services

and the privacy degree of the provider in different shared services was obtained.Then

the data sharing process was designed based on privacy degree

and the provider cached data under the constraints of privacy preferences and participates in sharing services with low privacy to meet the provider's privacy requirements.Finally

on the basis of the provider who has satisfied the privacy requirements

a multi-index evaluation method was designed to evaluate the service stability of providers to select stable sharing partners.The feasibility of the proposed mechanism was demonstrated by analysis of performance.

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Keywords

references

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