Detection of Fake Profiles on Twitter Using Hybrid SVM Algorithm

Establishing and management of social relationships among huge amount users has been provided by the emerging communication medium called online networks (OSNs). The attackers have attracted because rapid increasing OSNs large its subscriber’s personal data. Then they pretend to spread malicious activities, share false news even stolen Twitter is one biggest networking platforms micro blogging in which daily more than half a billion tweets are posted most that malware activities. Analyze, who encouraging threats need classify profiles users. Traditionally, there different classification methods for detecting fake on needed improve their accuracy rate classification. Thus machine learning algorithms focused this paper. Therefore detection twitter using hybrid Support Vector Machine (SVM) algorithm proposed based SVM used genuine accounts applied dimension reduction techniques, feature selection bots. Less number features 98% correctly classified with algorithm.