Journal of Internet of Things and Information Technology ISSN: 3107-4502 (Online)

Authors: Sayli Ambulkar, Rita Jadhav, Meena Borkar, Pranay Irdande

Abstract: Internet becomes more popular in the day to day activities of users. In recent years online social networks (OSN) also increased rapidly. The users can communicate and share their views and content through online social networking services (OSN). The sharing between the users should be several types of content like image, audio, video etc. The main draw-back of these Online Social Networking (OSN) services is the lack of privacy for the users own private space. The users can’t have the ability to direct control to prevent the undesired messages posted on their own private walls. Online Social Networks (OSN) becomes an important part of many people life today. So Online Social Networks (OSN) should be highly secured to prevent the individual’s privacy. Up to now the Online Social Network (OSN) provides the security measures are limited. To filter the unwanted messages, in this work proposed an enhanced filtering system by using machine learning technique based on a content filtering.