• B.Bhavani
• Dr. R. Jegadeesan
• A.Pavithra
• R.Sai Spandana
• K.Srikanth

Online social networks like Face book and My space are popular. These sites have increased the number of people who connect and share their personal information such as photos and activities. This reveals that the privacy concerns of the people are rich and varied. Proper configuration of access control can be difficult and time-consuming .The user's lack of understanding of privacy settings can lead to a lack of willingness to set up privacy manually. We use a two-level framework that uses user history available on the site and sets the privacy policy for user images so that the user can easily use the policy setting and secure their images. In this, we use the Adaptive Privacy Policy (A3P) prediction system, which allows users to use the free privacy settings experience for unrest by automatically creating privacy policies.

Adaptive privacy policy prediction, social networking, online photo sharing, classification

"AUTOMATIC PRIVACY PROTECTION OF USER UPLOADED IMAGES ON SOCIAL SITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.130-134, March-2019, Available :http://www.jetir.org/papers/JETIRAU06020.pdf

"AUTOMATIC PRIVACY PROTECTION OF USER UPLOADED IMAGES ON SOCIAL SITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp130-134, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06020.pdf