Survey on Fake Profile Detection in Social Media
Abstract
In the present generation, online social networks
(OSNs) have become increasingly popular, people’s social lives 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
Keywords:
Accounts, Fake Profiles, Accuracy, Machine Learning Algorithms
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