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Paper Title : RECOGNIZING USER PORTRAIT FOR FRAUDULENT IDENTIFICATION ON SOCIAL NETWORKS USING BLOCKCHAIN AND WATERMARKING ALGORITHM

ISSN : 2395-1303
Year of Publication : 2020
10.29126/23951303/IJET-V6I2P21

Authors: -Kailash Nath Mandal,Ramesh Reddy,,Changal Rayudu, Deepa R

         


Abstract
On-line Social Networks (OSNs) are increasingly influencing the way people communicate with each other and share personal, professional and political information. Well known sites such as Facebook, LinkedIn, Twitter, and Google+ have millions of users across the globe. With the wide popularity there are lot of security and privacy threats to the users of Online Social Networks (OSN) such as breach of privacy, viral marketing, structural attacks, malware attacks and Profile Cloning. Social Networks have permitted people have their own virtual identities which they use to interact with other online users. It is also completely possible and not uncommon for a user to have more than one online profile or even a completely different anonymous online identity. Sometimes it is needed to unmask the anonymity of certain profiles, or to identify two difference profiles as belonging to the same user. Entity Resolution (ER) is the task of matching two different online profiles potentially from social networks. Solving ER has an identification of fake profiles. Our solution compares profiles based similar attributes and user uploaded image streak using block chain and watermarking technology. The system was tasked with matching two profiles that were in a pool of extremely similar profiles.

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