期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311127
出版社：S&S Publications
摘要：Images are now one of the key enablers of users‟ connectivity. Sharing takes place both among previouslyestablished groups of known people or social circles (e. g., Google+, Flickr or Picasa),and also increasingly with peopleoutside the users social circles, for purposes of social discovery-to help them identify new peers and learn about peersinterests and social surroundings. However, semantically rich images may reveal content sensitive information. Withthe increasing volume of images users share through social sites, maintaining privacy has become a major problem.Sharing images within online content sharing sites, therefore, may quickly lead to unwanted disclosure and privacyviolations. Most content sharing websites allow users to enter their privacy preferences. Unfortunately, in existingsystem, users struggle to set up and maintain such privacy settings. Existing proposals for automating privacy settingsappear to be inadequate to address the unique privacy needs of images. We propose an Adaptive Privacy PolicyPrediction (A3P) system to help users compose privacy settings for their images. We examine the role of socialcontext, image content, and metadata as possible indicators of users‟ privacy preferences. We propose a two-levelframework which according to the user‟s available history on the site determines the best available privacy policy forthe user‟s images being uploaded. Our solution relies on an image classification framework for image categories whichmay be associated with similar policies, and a policy prediction algorithm to automatically generate a policy for eachnewly uploaded image, also according to users‟ social features.
