Fake Profile Identification in Online Social Networks
Sk.Shama1, K.Siva Nandini2, P.Bhavya Anjali3, K. Devi Manaswi4
1Sk.Shama, Assistant Professor of Computer Science and Engineering Department Koneru Lakshmaiah Education Foundation situated Vaddeswaram, Guntur District Andhra Pradesh, India.
2K. Siva Nandini, Computer Science And Engineering Department, Koneru Lakshmaiah Education Foundation Vaddeswaram, Guntur District Andhra Pradesh, India.
3P.Bhavya Anjali, Computer Science and Engineering Department, Koneru Lakshmaiah Education Foundation Vaddeswaram, Guntur District Andhra Pradesh, India.
4K.Devi Manaswi, from Computer Science and Engineering Department, Koneru Lakshmaiah Education Foundation Vaddeswaram, Guntur District Andhra Pradesh, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11190-11194 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9933118419/2019©BEIESP | DOI: 10.35940/ijrte.D9933.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There is a tremendous increase in technologies these days.. Mobiles are becoming smart. Technology is associated with online social networks which has become a part in every one’s life in making new friends and keeping friends , their interests are known easier. But this increase in networking online make many problems like faking their profiles, online impersonation having become more and more in present days. Users are fed with more unnecessary knowledge during surfing which are posted by fake users. Researches have observed that 20% to 40% profiles in online social networks like facebook are fake profiles. Thus this detection of fake profiles in online social networks results into solution using frameworks.
Keywords: Online Social Networks, Fake profiles, Classification, Neural Network.
Scope of the Article: Social Networks.