Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (2): 92-97,105.doi: 10.12141/j.issn.1000-565X.180316

• Computer Science & Technology • Previous Articles     Next Articles

Colocation Privacy Protection Method in Mobile Social Networks
 

 LI Jiachun1 XIONG Dongqing2 CAO Jianzhou1   

  1.  1． School of Computer Science and Engineering∥Communication ＆ Computer Network Lab of GD，South China University of Technology，Guangzhou 510006，Guangdong，China; 2． Guangdong Mechanical and Electronical College of Technology，Guangzhou 510515，Guangdong，China
  • Received:2018-06-26 Revised:2018-10-02 Online:2019-02-25 Published:2019-01-02
  • Contact: 李家春( 1968-) ，女，副教授，主要从事计算机网络与信息安全、大数据与隐私保护技术、社交网络推荐算法研究． E-mail:jclee@scut.edu.cn
  • About author:李家春( 1968-) ，女，副教授，主要从事计算机网络与信息安全、大数据与隐私保护技术、社交网络推荐算法研究．
  • Supported by:
     Supported by the CEＲNET Innovation Project( NGII20180619) 

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Abstract:  Information with location tags and friends labels shared by users in location-based mobile social networks，can reveal not only the user’s location but also the friend’s location，and thus lead to the location privacy loss problem based on the colocation information attack． In order to prevent the colocation privacy attack，a location privacy protection method was proposed． A relation strength calculation algorithm based on the online interaction between users and friends was designed，a mapping and quantitative method for the location privacy protection requirement was put forward，and an algorithm based on colocation information concealment and time adjustment called CCTA was explored． Experimental results on the twitter data set indicate that the proposed method has better performance and could be suitable for colocation privacy protection． 

Key words: social networks, location based services, data privacy, location privacy protection, colocation privacy attack

CLC Number: