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  • 标题:Privacy in social networks with the anonymization of data
  • 本地全文:下载
  • 作者:parisa gazalian ; Seyyed Mohammad Safi
  • 期刊名称:International Journal of Computer Science and Network Solutions
  • 印刷版ISSN:2345-3397
  • 出版年度:2018
  • 卷号:6
  • 期号:2
  • 页码:11-17
  • 出版社:International Journal of Computer Science and Network Solutions
  • 摘要:Online social networks provide a new world of communication for people. The users of these networks intern a lot of their personal information in these networks for communication. Because of the attackers, this matter is dangerous for users' privacy. Therefore, social networks sites must preserve their users' privacy. Data anonymization is a way of preserving the privacy of individuals before the release of informations and there are also problems and challenges with this. In this paper we will evaluate some measures about anonymity and we will survey a number of important methods proposed over the years for anonymization
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