An Integrated Privacy on OSN using Advanced Trust Policy

Abstract

Trust is the most widely used factor in many Online Social Networking sites (OSNs). From the past few years, OSNs became as a prominent medium between the Online applications and users. Every organization is developing various online applications integrated with OSNs to improve their business. Different type of people with variety of mind-sets is connected in OSNs. Privacy causes more issues in social networking sites since the beginning of the OSNs. If the user post or share the content, that might be misused by the various sets of people. Establishing Trust is very important in OSNs and between the users. In this paper, the integrated privacy and security is implemented to calculate the Trust of the each user. In order to enhance the Trust Policy, the proposed system uses the Reinforcement learning algorithm with Trust Region Policy Optimization (TRPO) to improve the results. The dataset used in this paper is synthetic Twitter datasets with various users’ twitter data to analyze the Trust on every user.