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  • 标题:A Survey on User-Uploaded Images Privacy Policy Prediction Using Classification and Policy Mining
  • 本地全文:下载
  • 作者:Aishwarya Singh ; Bhavesh Mandalkar ; Sushmita Singh
  • 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:9
  • DOI:10.15680/IJIRCCE.2015. 0309025
  • 出版社:S&S Publications
  • 摘要:Social media’s become important part of our daily life. Using social media we are able to communicatewith lot of people. Facebook is most popular example of social media which enable us to communicate with lot ofpeople. In which peoples have opportunities to meet new peoples, friends and communicate with each other. Peoplesor users also share images, personal information through social site so maintaining privacy is a most important task.Because of large amount of image share through social sites image privacy is a major problem. There is a need of a toolwhich helps users to control access to their shared content. In this paper an Adaptive Privacy Policy Prediction is usedto help user for privacy setting of their image. Our goal is to provide various privacy policy approaches to improve theprivacy of images or information shared in the social media site..
  • 关键词:Social media; content sharing sites; Privacy; Meta data
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