首页    期刊浏览 2024年12月04日 星期三
登录注册

文章基本信息

  • 标题:Fraud Detection in Information Leakage
  • 本地全文:下载
  • 作者:Poonam Sahoo ; Kanchan Garud ; Sarika Kate
  • 期刊名称:International Journal of Computer Technology and Applications
  • 电子版ISSN:2229-6093
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:842-845
  • 出版社:Technopark Publications
  • 摘要:In the field of business, the owner having some crucial data may need to share it with third-parties. These trusted third-parties may use this data for their own benefit causing reputational and monetary damage to the owner’s company. If some of the shared data is discovered at some illegal place, it is quite possible that one or more third party agent is responsible for such information leakage.The owner must identify the leakage at the earliest and possibly the source of leakage. This paper presents two methods to handle such information leakage namely watermarking and Identifying Guilty agent using probability.
  • 关键词:Watermarking; Fake records; Guilty agent; Leaked dataset; sensitive data; Probability of guilty agent ;Allocation strategies; data privacy; leakage model.
国家哲学社会科学文献中心版权所有