JIITA, vol.7 no.2, p.751-762, 2023, DOI: 10.22664/ISITA.2023.7.2.758
Dr.B.Harichandana, Dr.Abdul Subhahan Shaik, T. Murali Krishna
Abstract: The substantial growth of social computing in recent years has created the need for a development of novel theories and methodologies to address the human behavior and social relations. Social Networking Sites are increasingly gaining its importance in various domains such as academics, research and development. Apart these strengths of Social Networking Sites, it has one major disadvantage which is inefficient authentication of user login because single user can have Multiple Identity within the same group. Due to which various types of fake message, personal or national threats, non-social activities, vulgar and harassing figures and videos etc. are posted by some imposters or non social personals. To defeat this attack we propose an authentication scheme using vicinity languages. The implication of fake account‟s will be prohibited and prevent from fraud and forgery of user‟s identity. Our analysis is validated through a Simulator. It relies on social graph properties for authentication and authorization in social network sites. Social simulator is computationally efficient and can scale to graphs with hundreds of millions of nodes as users.
Keywords: Social network sites, fake accounts, unique identity, authentication, authorization
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