• B. SIVA JYOTHI
• G.V.GAYATHRI

Now a days for identifying the fake profiles in online social network, it is very complicated task and one should keep more effort in order to identify them in accurate manner. There is a colossal expansion in innovations nowadays. Mobiles are getting more and more popular and there was a lot of innovation among online interpersonal organizations which has gotten a section in each one's life in making new companions and keeping companions, their inclinations are known simpler. As due to continuous usage of recent trends and technologies, every one is using these services for their day to day tasks and some are facing issues with some fake users who try to create fake profiles. Clients are taken care of with more pointless information during riding which are posted by counterfeit clients. Investigates have seen that 20% to 40% profiles in online social networks like facebook are fake profiles. Consequently this detection of fake profiles in online social networks results into arrangement utilizing structures.

Fake Profiles, Online Social Network, Facebook, Online Interpersonal Organizations, Innovation, Classification, Neural Network.

"USING DEEP LEARNING MODEL AND ARTIFICIAL INTELLIGENCE (AI) FOR FAKE PROFILE IDENTIFICATION IN OSN NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g725-g739, May 2021, Available :http://www.jetir.org/papers/JETIR2105896.pdf

"USING DEEP LEARNING MODEL AND ARTIFICIAL INTELLIGENCE (AI) FOR FAKE PROFILE IDENTIFICATION IN OSN NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg725-g739, May 2021, Available at : http://www.jetir.org/papers/JETIR2105896.pdf