Fake Accounts Identification in Mobile Communication Networks Based on Machine Learning

Fake accounts on online social networks are increasing today with an increase in the number of active network users. Social media websites allow users to share thoughts, facts, views and re-sharing these into various networks. platforms provide enormous valuable information but this great amount media, many issues like fake profile, hacking have also grown. The profiles sites create news unwanted material which contains spam links that affect natural massive issue communication is it necessary identify stop spam. In paper, a supervised machine learning algorithm called support vector (SVM) used effectively. order automatically profiles, Random Forest classifier SVM. With concept, can be applied easily millions cannot examined manually. result model compared other identification techniques results show proposed performs better high precision recall. This method efficiently safeguards from threats attacks.