北京科技大学学报Issue(5)：695-700,6.DOI:10.13374/j.issn1001-053x.2014.05.019
保护私有信息的社交网络合群判定
Privacy-preserving join decision in social networks
姚亦飞 1郑榕 2尚伟昌1
作者信息
- 1. 北京科技大学计算机与通信工程学院，北京100083
- 2. 材料领域知识工程北京市重点实验室，北京100083
- 折叠
摘要
Abstract
ABSTRACT In order to decide the appropriateness of a new user applying to join in a group in the social network, a privacy-preserving protocol was designed by the secure sum protocol and secure comparison protocol. In the privacy-preserving protocol, the secure basis protocol was devised for problems under a one-dimensional linear model, and the advanced protocol for a multi-dimensional model with a circular boundary. For the case of a single applicant and a multi-user group, the solution was converted and realized in a two-party computation model. After the proof of correctness, the complexity was discussed, and there is no leaking message during the process by the analysis of data views in each step. The privacy-preserving protocol avoids not only the blindness of auto recommendation by the net-system but also the decision delay due to the administrator's offline. In the meanwhile, the privacy of the applicant and group members can be protected without leaking any information.关键词
社交网络/数据保密/网络安全/网络协议Key words
social networks/security of data/network security/network protocols分类
信息技术与安全科学引用本文复制引用
姚亦飞,郑榕,尚伟昌..保护私有信息的社交网络合群判定[J].北京科技大学学报,2014,(5):695-700,6.
