Spam Detection in Social Network Using Machine Learning Approach

Abstract

Social network helps people to continue communication with their links. The rapidly growing network’s popularity permits the users for gathering huge amount of personal details for the users. The social network offers a system through which the users usually preserve the contact with the friends. With the increment in the popularity of social networking, the users integrate huge amount of information for the users. Though, the amount of information and the ease of accessing user information can become the cause to attract malicious groups. Therefore, the networks are influenced by the spammers and lot of work has been done for identification and fixing. In research work, we have used SVM as a classification technique for detecting spam in the social network. To determine performance of the proposed work, different parameters are computed. To determine the efficiency of the proposed work, the comparison between proposed and existing work has been performed.