A Novel Approach for Trust-based Friend Recommendation in Online Social Network

OSNs is increasing day by day by using which people can exchange their knowledge, data or can share different information by connecting to the internet. In cyberspace people can make new friends easily by communicating with each other by using online social networks (OSNs). OSN users’ existing social relationship can be characterized as 1-hop trust relationship, and further establish a multi-hop trust chain during the recommendation process. The social relationship on the OSNs is an asymmetric context-aware trust relationship between two friends, in which the privacy concerns are regarding their identities and social relationships, as well as the recommended information during the information exchange, all of which should be well addressed. In this paper, we propose a trust-based privacy-preserving friend recommendation scheme for OSNs, where OSN users apply their attributes to find matched friends, and establish a social relationship with strangers via a multi-hop trust chain to protect privacy of social networks and to establish a trust based recommendation by trust of existing users