A SURVEY ON SECURE AND PRIVACY IN SOCIAL NETWORK WITH GROUP MATCHING TECHNIQUES
Jayant S. Rohankar · 2014
Groups are commonly used in social networks. In order to choose a suitable group to join, a stranger who is still outside of a group may have the need to figure out matching information about the attributes of all the group members based on its own at- tributes. However, privacy is one of the most important issues, how can we allow the stranger to find out matching information be- tween itself and a group without gaining private attributes is a challenging task. In this paper, we propose secure and privacy- preserving group matching scheme, where the privacy of both a stranger and group members in social networks are preserved. By leveraging attribute based group signatures, stranger is able to collect exact matching information while the private information of this stranger and group members are not revealed. Batch verification is proposed to significantly improve efficiency of the matching process.