A Novel privacy-preserving group matching scheme in social networks
文献类型：会议论文
| 作者 | Chi, Jialin (1) ; Lv, Zhiquan (1) ; Zhang, Min (1) ; Li, Hao (1) ; Hong, Cheng (1) ; Feng, Dengguo (1) |
| 出版日期 | 2014 |
| 会议名称 | 15th International Conference on Web-Age Information Management, WAIM 2014 |
| 会议日期 | June 16, 2014 - June 18, 2014 |
| 会议地点 | Macau, China |
| 关键词 | Social Networks Group Matching Private Set Intersection |
| 页码 | 336-347 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | CPCI ; EI |
| 会议录出版地 | Springer Verlag |
| 语种 | 英语 |
| ISSN号 | 3029743 |
| ISBN号 | 9783319080093 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16515]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:15th International Conference on Web-Age Information Management, WAIM 2014. Macau, China. June 16, 2014 - June 18, 2014. |
入库方式： OAI收割
来源：软件研究所
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