面向移动社交网络的位置隐私保护方法

许志凯; 张宏莉; 史建焘; 田志宏

doi:10.11959/j.issn.2096-109x.2015.00007

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面向移动社交网络的位置隐私保护方法

学术论文 | 更新时间：2024-06-03

- 面向移动社交网络的位置隐私保护方法
- Location privacy protection for mobile social network
- 网络与信息安全学报 2015年1卷第1期页码：50-57
- 作者机构：
- 作者简介：
  
  [ "许志凯（1988-），男，山东潍坊人，哈尔滨工业大学博士生，主要研究方向为云计算和信息安全。" ]
  [ "张宏莉（1973-），女，吉林榆树人，哈尔滨工业大学教授、博士生导师，主要研究方向为网络与信息安全、网络测量与建模、网络计算、并行处理等。" ]
  [ "史建焘（1980-），男，黑龙江哈尔滨人，哈尔滨工业大学讲师，主要研究方向为P2P和网络安全。" ]
  [ "田志宏（1978-），男，黑龙江哈尔滨人，哈尔滨工业大学副教授、博士生导师，主要研究方向为网格通信和信息安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61202457);国家自然科学基金资助项目;The National Natural Science Foundation of China(61173144);国家自然科学基金资助项目;The National Natural Science Foundation of China(61402137);国家自然科学基金资助项目;The National Natural Science Foundation of China(61402149);国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2011CB302605);国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2013CB329602)
- DOI：10.11959/j.issn.2096-109x.2015.00007
  中图分类号： TP393
- 网络首发：2015-12，
  
  纸质出版：2015-12-15
- 稿件说明：
移动端阅览
许志凯, 张宏莉, 史建焘, 等. 面向移动社交网络的位置隐私保护方法[J]. 网络与信息安全学报, 2015,1(1):50-57.

Zhi-kai XU, Hong-li ZHANG, Jian-tao SHI, et al. Location privacy protection for mobile social network[J]. Chinese Journal of Network and Information Security, 2015, 1(1): 50-57.
许志凯, 张宏莉, 史建焘, 等. 面向移动社交网络的位置隐私保护方法[J]. 网络与信息安全学报, 2015,1(1):50-57. DOI： 10.11959/j.issn.2096-109x.2015.00007.

Zhi-kai XU, Hong-li ZHANG, Jian-tao SHI, et al. Location privacy protection for mobile social network[J]. Chinese Journal of Network and Information Security, 2015, 1(1): 50-57. DOI： 10.11959/j.issn.2096-109x.2015.00007.

摘要

移动社交网络为人们的生活带来了极大的便利，但用户在享受这些服务带来便利的同时，个人位置隐私受到了严重威胁。首先对用户位置隐私保护需求进行了形式化描述，继而针对用户的敏感兴趣点泄露问题，提出了一种情景感知的隐私保护方法。该方法将位置信息、社交关系、个人信息引入到知识构建算法中以计算兴趣点间的相关性，并利用该相关性及时空情景实时判断发布当前位置是否会泄露用户隐私，进而实现了隐私保护与服务可用性间的平衡。最后通过仿真实验验证了该方法的有效性。

Abstract

Given its high utility value

mobile social network services(MSNS)

however

has raised serious concerns about users’ location privacy.The location privacy requirements of users in MSNS are personal and dynamic

thus a metric called confidence was proposed to quantify the privacy risks.To avoid the adversary inferring users’ privacy

a method of legation privacy protection was designed to calculate the correlation between the locations through lo-cation information

social relation and personal information.Then the correlation and the space-time background were used to evaluate whether the users’ published geo-content meet the user’s privacy requirement.Eventually

our experimental results demonstrate the validity and practicality of the proposed strategy.

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Keywords

references

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