摘要
针对移动社交网络内容分享中内容参与者的位置信息泄露问题,提出一种面向内容分享的位置隐私访问控制模型,细粒度控制分享内容中所涉及用户的敏感位置信息的访问,设计一种针对位置隐私设置的k-匿名算法,保证设置的敏感位置信息在内容分享服务提供商的服务器端不被推测,给出一种基于位置敏感度的位置偏移算法,以平衡隐私与服务质量。最后通过仿真实验验证该方法的有效性。
A privacy access control model for content sharing was presented to fine-grained control users' location information associated with sharing content in mobile social network. A k-anonymity privacy algorithm for privacy settings was given to protect against inference attack on a content sharing service provider server. To balance the privacy and quality of service, a location shifting method was presented. Finally experimental results demonstrate the validity and practicality of the proposed approach.
作者
李超
殷丽华
耿魁
方滨兴
LI Chao YIN Li-hua GENG Kui FANG Bin-xing(State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China Institute of Electronic and Information Engineering, University of Electronic Science and Technology of China in Dongguan, Dongguan 523808, China)
出处
《通信学报》
EI
CSCD
北大核心
2016年第11期31-41,共11页
Journal on Communications
基金
广东省产学研合作基金资助项目(No.2016B090921001)
国家自然科学基金-广东联合基金资助项目(No.U1401251)
国家高技术研究发展计划("863"计划)基金资助项目(No.2015AA016007)
国家"核高基"基金资助项目(No.2015ZX01029101)~~
关键词
位置隐私
隐私计算
隐私保护
社交网络隐私
location privacy, privacy computing, privacy preservation, mobile social network