The popularity of online social networks is constantly increasing due to various advantages such as online communication and sharing information among friends. Online social network applications severely suffer from various issues such as security, privacy. However, users want to make new friends to enlarge their social connections as well as to obtain information from thousands of people. Extensively in the recent past Friend recommendation is a very important application in many online social networks (OSNs). There is a strong need to develop privacy-preserving friend recommendation methods for social networks as user privacy is main concern nowadays. Online Social Networks (OSNs), not only attract millions people to use every day but also greatly extend OSN users social circles by using friend recommendations. This paper is motivated by need of friend recommendation without revealing privacy and security while using social networks.

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Online Social Networks Data Privacy Trust Privacy Protection Algorithms.