Ensemble Based Model for Privacy in Online Social Network

Abstract

Online social networks become a more popular and efficient way to connect millions of people around the world."Many social network sites have changed the way people are communicating or connected with each other to share their personal information. However, these sites do not ensure the privacy of users' data from third-party applications. With the abundance amount of information available over the internet, the privacy-preserving data mining is effectively used for pertaining to the privacy of underlying data. In order to do so, this research work proposed an ensemble method to classify the user’s profile based on a set of privacy level. The proposed model has used various machine learning algorithms like a Decision tree, Naïve Bayes, IBK, NB tree, and Bayes Network."