• S.Ruthik Reddy
• E.Rupa
• N.Archana
• Ch Vijaya Kumar

Fake identities or profiles plays major role in advanced persisted threats, like cyber espinoge, including theft secrets. These are also involved in malicious and dangerous activities. Currently social network plays a major role in order to perform day to day activities by the users. Due to excess use of social media networks different kinds of scammers are attracted to it. These scammers create different fake identities in order to carry out various scams. In this project we are checking what is occurrence that the Facebook details are authentic or not by using Deep Learning-ANN. In order to perform these process we have extracted Facebook dataset from Github. Different libraries involved in this project. We have also sigmoid function to determine weights. Several parameters of any particular social media site which are very crucial in provided solutions are also consired. Due to presence of bots and fake profiles there are other dangers to personal data which are used for fraudulent purpose. Bots are type of program which access the data of users without users having information about them, it is also called web scrapping. To gain the access to private information these bots come in form of fake friend request or it can be hidden.

Fake Accounts (profiles) Identification , Artificial Neural Networks of deep learning , SVM and ANN classifications (machine learning) .

"Identifying Fake Profiles Using Ann", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i14-i19, June-2023, Available :http://www.jetir.org/papers/JETIR2306803.pdf

"Identifying Fake Profiles Using Ann", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi14-i19, June-2023, Available at : http://www.jetir.org/papers/JETIR2306803.pdf