Abstract:
In today’s digital age, the ever-increasing dependency on computer technology has left the average
citizen vulnerable to crime such as data breaches and possible identity theft. These breaches or
crime often target social media networks such as Instagram, Facebook, LinkedIn and Twitter. This
emerges the needs for social networks to improve their cyber security .The project intends to build
an artificial intelligence solution to prevent the danger of a bot in the form of a fake profile on
social media .The deep learning algorithms can determine the possibility of a social media pro-
file to be authentic/not. The parameters of the social media network that drive a breach are also
identified in the work and web browser plugin is built to identify these fake profiles .Researches
have observed that 20 percentage to to 40 percentage profiles in online social networks like Face-
book, Instagram, LinkedIn and Twitter are fake profiles. The owners of fake accounts extract the
personal information about other people and spread the forget data on social networks. The Work
employs a combination of SVM, Random Forest and Neural Network models to determine fake
profiles in social network with improved accuracy.
