The popularity of the internet has led to its recognition as a crucial medium for social interaction, marketing, and advertising. There are millions of users, however some of them frequently mishandling the network by creating false identities. People are taking part social media site actively all over the world. But, it also needs to address the problem of bogus profiles.Fake account creation is the process of creating accounts using fake or stolen identity information and regularly made by people, software, or machines. They are employed in the spread of rumors and illegal actions like phishing and identity theft. This article discusses the different methods used to identify malicious accounts using different machine learning methods, including SVM, naive bayes, random forest, logistic regression, and K-nearest neighbors.

Social media, Fake accounts, Machine learning ,Supervised learning, Particle Swarm Optimization, Recursive Feature Elimination