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  • 标题:Confidential Data Identification Using Data Mining Techniques in Data Leakage Prevention System
  • 本地全文:下载
  • 作者:Peneti Subhashini ; B Padmaja Rani
  • 期刊名称:International Journal of Data Mining & Knowledge Management Process
  • 印刷版ISSN:2231-007X
  • 电子版ISSN:2230-9608
  • 出版年度:2015
  • 卷号:5
  • 期号:5
  • 页码:65
  • DOI:10.5121/ijdkp.2015.5505
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Data leakage means sending confidential data to an unauthorized person. Nowadays, identifyingconfidential data is a big challenge for the organizations. We developed a system by using data miningtechniques, which identifies confidential data of an organization. First, we create clusters for the trainingdata set. Next, identify confidential terms and context terms for each cluster. Finally, based on theconfidential terms and context terms, the confidentiality level of the detected document calculated in termsof score. If the score of the detected document beyond a predefined threshold, then the document is blockedand marked as a confidential.
  • 关键词:Data leakage; Data mining techniques; Confidential terms; Context terms; Threshold; Confidentiality level.
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