Identification of Malicious Posts in Facebook Social Networks

Abstract

A social network provides interconnectivity between millions of users. In social networks numbers of applications are available like Twitter, Google+ and Facebook through which people can connect with each other. In Facebook, user can add number of users and their friends in friend list. When a user adds more friends and their friends in his friend list then may be some of them could be malicious users and spread malicious spam’s or misinformation through posts on user wall. In this paper, an attempt has been made to present comparative analysis of various existing techniques with different parameters to detect malicious posts in online social networks. This paper is divided into four sections. Section I covers introduction of social networks that includes brief discussion on Facebook. In section II literature review on different existing techniques proposed by different researchers to detect and prevent social network from malicious posts posted by malicious users. Section III presents proposed work and at last section IV presents comparison between existing techniques with their pros and cons.