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@article{143511,
        author = {Nitin Arun Khandare and Jaihind D. Mungle and Shadaf J. Warunkar and Vishal V. shinde},
        title = {IDENTIFICATION AND PREVENTION OF FAKE IDENTITIES IN SOCIAL MEDIA},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {11},
        pages = {272-277},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143511},
        abstract = {Now Days online social networks such as Face book, Twitter, Google+, LinkedIn, have become extremely popular all over the world and play a significant role in people’s daily lives. Due to open and anonymous nature of social sites the vulnerabilities on this social network are increasing, such as fake users also called as Sybil users. These kinds of malicious users can fabricate many dummy identities to target systems. So here we proposed a system. Which is a scalable defense system, which leverages user level activities such as friend acceptance, rejection? In this survey, our aim to give a comprehensive review of research related to user behavior in OSNs from several perspectives. First, we discuss social connectivity and interaction among users, Acceptance and rejections ratio are also important for that. Also, we investigate traffic activity from a network perspective.},
        keywords = {SMSD,OSN,VSL },
        month = {},
        }