PRIVACY PRESERVED AND SECURE PROFILE MATCHING BASED ON PROFESSION ATTRIBUTES

Golla Saidarao, Rajesh Ghanta

Abstract


Today online social networks and micro blogging services have gained more popularity due to increasing needs of professional services extended to people having the same professional attributes or the members of a group. When professional services are to be shared with group members by another member in the same group or the person from the outside of the group need to find the matching profiles of groups or individuals based on the profession or the location or any other attribute. The problem of sharing profiles are having increasing risk of exploitation or misusing profile information needs a secured sharing of the profile information due to sensitive and personal information, which are not to be disclosed to everyone. In this paper, we present a novel mechanism to extract the correct group matching attributes while sensitive information of the initiator and group members are not disclosed. Our proposed scheme explores the private set intersection and ring signature to use group verification to provide efficient and high performance profile matching.


Keywords


Mobile social network; profile matching; privacy preservation; secure matching; profession based profile matching;

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