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Title:
A Novel privacy-preserving group matching scheme in social networks
Author: Chi, Jialin (1) ; Lv, Zhiquan (1) ; Zhang, Min (1) ; Li, Hao (1) ; Hong, Cheng (1) ; Feng, Dengguo (1)
Conference Name: 15th International Conference on Web-Age Information Management, WAIM 2014
Conference Date: June 16, 2014 - June 18, 2014
Issued Date: 2014
Conference Place: Macau, China
Keyword: Social Networks ; Group Matching ; Private Set Intersection
Publish Place: Springer Verlag
Indexed Type: CPCI ; EI
ISSN: 3029743
ISBN: 9783319080093
Department: (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
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16515
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Chi, Jialin ,Lv, Zhiquan ,Zhang, Min ,et al. A Novel privacy-preserving group matching scheme in social networks[C]. 见:15th International Conference on Web-Age Information Management, WAIM 2014. Macau, China. June 16, 2014 - June 18, 2014.
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