Downloads: 133
Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015
A Survey on A3P System for Image Uploading
Sucheta Shinde | Swarupa Kamble [4]
Abstract: With the sharing of images on social media such as Facebook, twitter, etc. increases, maintain their privacy becomes the major problem. As user shares their private images on social sites, people expect more tools to allow them to regain control over their privacy. By considering this need, we propose an Adaptive Privacy Policy Prediction (A3P) system which provides user convenient privacy settings by automatically generating personalized policies. To define users privacy preferences we consider the different factors such as social environment, personal characteristics, image content and metadata. For the images being uploaded, we define the best available privacy policy for the user based on the users available history on the site. For that we propose a two level framework. A3P system relies on the image classification framework for image categories which may be associated with similar policies and on a policy prediction algorithm to automatically generate a policy for each newly uploaded image, also according to users social features.
Keywords: Social media, content sharing sites, metadata, policy mining, policy prediction
Edition: Volume 4 Issue 12, December 2015,
Pages: 927 - 929
Similar Articles with Keyword 'Social media'
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 11, November 2022
Pages: 642 - 647Face Liveness to Identify Between Actual Face and Spoof Face
Lovely Pal [2] | Renuka Singh [2]
Downloads: 0
Research Paper, Computer Science & Engineering, India, Volume 12 Issue 2, February 2023
Pages: 916 - 919Sentiment Analysis: A Case Study for Apparel Brands - FABINDIA v/s BIBA
Syed Aqsa Ahmed