International Journal of Engineering Research
  • Year: 2016
  • Volume: 5
  • Issue: 7

Empowering Users with Adaptive Privacy Policies for the Uploaded Images

1Department of E&TC Engineering, G.H. Raisoni College of Engineering & Management, Wagholi, Pune, tanuja.dhope@raisoni.net

2Savitribai Phule Pune University, Pune, mohinishinde8@gmail.com

Online published on 9 March, 2017.

Abstract

In todays generation images are most important part of user's connectivity with each other. Because of this privacy has become a big problem. So user needs framework which gives controlled access and privacy to their shared images. Best Available Policy Prediction (BAP) system gives opportunity to users to find privacy policy for to users social sites images. Using available history on social site, BAP framework finds nearest suitable security policy for images user wants to upload. This BAP framework also handles the issues related to cold start and social sites information leveraging.

Keywords

Online Social Networks (OSNs), Best Available Policy Prediction (BAP), Content Based Image Retrieval (CBIR), Multiuser Access Control (MPAC)