• KORIBILLI MANIKANTA
• Dr. S. JHANSI RANI

In this proposed work using Artificial Neural Networks we are recognizing whether given record nuances are from genuine or fake customers. ANN estimation will be ready with all past customers fake and bona fide record data and a while later whenever we gave new test data then that ANN train model will be applied on new test data to recognize whether given new record nuances are from authentic or fake customers. Online relational associations, for instance, Facebook or Twitter contains customers nuances and some poisonous customers will hack casual association informational collection to take or infiltrate customer’s information. To guarantee customers data we are using ANN Algorithm.

ANN, Facebook, Twitter.

"Design and Analysis of Artificial Neural Networks (ANN) to Identify Fake Profiles in Online Social Networks ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.d35-d39, November-2021, Available :http://www.jetir.org/papers/JETIR2111305.pdf

"Design and Analysis of Artificial Neural Networks (ANN) to Identify Fake Profiles in Online Social Networks ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppd35-d39, November-2021, Available at : http://www.jetir.org/papers/JETIR2111305.pdf