A Recommendation-based Matchmaking Scheme for Multiple Mobile Social Networks against Private Data Leakage

被引：1
|
作者：
Wang, Yong [1 ]
Hou, Jie [1 ]
Tan, Yuan-wei [1 ]
Nie, Xiao [1 ]
机构：
[1] Univ Elect Sci & Technol China, Dept Comp Sci & Commun Engn, Chengdu 611731, Peoples R China
来源：
FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2013年 / 17卷
关键词：
Matchmaking; Mobile Social Network (MSN); Privacy preserving; Homomorphic; SET INTERSECTION;
D O I：
10.1016/j.procs.2013.05.100
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Mobile social networks (MSNs) enable users to discover and interact with existing and potential friends both in the cyberspace and in the real world. Although mobile social network applications bring us much convenience, privacy concerns become the key security issue hindering their wide adoptions. In this paper, we propose a recommendation-based matchmaking scheme in multiple MSNs, which can help users to find their potential friends without disclosing their private information. The correctness and security analyzing results show that our scheme can resist both semi-honest and malicious attacks while providing matchmaking functionality against private data leakage. (C) 2013 The Authors. Published by Elsevier B.V.
引用
收藏
页码：781 / 788
页数：8
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