A Novel privacy-preserving group matching scheme in social networks

ISCAS OpenIR

	A Novel privacy-preserving group matching scheme in social networks
	Chi, Jialin (1); Lv, Zhiquan (1); Zhang, Min (1); Li, Hao (1); Hong, Cheng (1); Feng, Dengguo (1)
	2014
会议名称	15th International Conference on Web-Age Information Management, WAIM 2014
页码	336-347
会议日期	June 16, 2014 - June 18, 2014
会议地点	Macau, China
收录类别	CPCI ; EI
出版地	Springer Verlag
ISSN	3029743
ISBN	9783319080093
部门归属	(1) Trusted Computing and Information Assurance Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China; (2) University of Chinese Academy of Sciences, Beijing, China
摘要	The group service allowing users with common attributes to make new connections and share information has been a crucial service in social networks. In order to determine which group is more suitable to join, a stranger outside of the groups needs to collect profile information of group members. When a stranger applies to join one group, each group member also wants to learn more about the stranger to decide whether to agree to the application. In addition, users' profiles may contain private information and they don't want to disclose them to strangers. In this paper, by utilizing private set intersection (PSI) and a semi-trusted third party, we propose a group matching scheme which helps users to make better decisions without revealing personal information. We provide security proof and performance evaluation on our scheme, and show that our system is efficient and practical to be used in mobile social networks. © 2014 Springer International Publishing Switzerland.; The group service allowing users with common attributes to make new connections and share information has been a crucial service in social networks. In order to determine which group is more suitable to join, a stranger outside of the groups needs to collect profile information of group members. When a stranger applies to join one group, each group member also wants to learn more about the stranger to decide whether to agree to the application. In addition, users' profiles may contain private information and they don't want to disclose them to strangers. In this paper, by utilizing private set intersection (PSI) and a semi-trusted third party, we propose a group matching scheme which helps users to make better decisions without revealing personal information. We provide security proof and performance evaluation on our scheme, and show that our system is efficient and practical to be used in mobile social networks. © 2014 Springer International Publishing Switzerland.
关键词	Social Networks Group Matching Private Set Intersection
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16515
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Chi, Jialin ,Lv, Zhiquan ,Zhang, Min ,et al. A Novel privacy-preserving group matching scheme in social networks[C]. Springer Verlag,2014:336-347.