Deshmukh, Aaradhana A.

Mihovska, Albena Dimitrova

Ople, Shubhangi S.

Prasad, Ramjee

Social services make the most use of the userprofile matching to help the users to discover friends withsimilar social attributes (e.g. interests, location, age).However, there are many privacy concerns that prevent toenable this functionality. Privacy preserving encryption isnot suitable for use in social networks due to its data sharing problems and information leakage. In this paper, we propose a novel framework for privacy–preserving profile matching. We implement both the client and serverportion of the secure match and evaluate its performancenetwork dataset. The results show that a secure match canachieve at least one order of accuracy and bettercomputational performance than the techniques that usehomomorphic encryption.It can handle and tackle newcharacteristics and an environment for a particularapplication in a mobile social network

Privacy‐Preserving Friend Matching Protocol approach for Pre‐match in Social Networks

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