Survey on Fake Profile Detection in Social Media

In the present generation, online social networks
(OSNs) have become increasingly popular, people’s social lives
have become more associated with these sites. They use OSNs to
keep in touch with each other, share news, organize events, and
even run their own e-business. The rapid growth of OSNs and the
massive amount of personal data of its users have attracted
attackers, and imposters to steal personal data, share false news,
and spread malicious activities. On the other hand researchers
have started to investigate efficient technique to detect abnormal
activities and fake accounts using machine learning algorithms.
The various machine learning models widely used for fake profile
detection are Support Vector Machine, Decision Tree, Neural
Networks, Random Forest, Naive Bayes and K-nearest Neighbor.