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  • 标题:Prevention of Information Leakage
  • 本地全文:下载
  • 作者:E.Suganthi ; M.Pushpalatha ; N.Hemalatha
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 期号:MULTICON
  • 页码:177
  • 出版社:S&S Publications
  • 摘要:A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some ofthe data are leaked and found in an unauthorized place (e.g., on the web or somebody’s laptop). The distributor mustassess the likelihood that the leaked data came from one or more agents, as opposed to having been independentlygathered by other means. We propose data allocation strategies (across the agents) that improve the probability ofidentifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases,we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifyingthe guilty party.
  • 关键词:Allocation strategies; data leakage; data privacy; fake records; leakage model.
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