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  • 标题:Dynamic Classification of Sensitivity Levels of Datawarehouse Based on User Profiles
  • 本地全文:下载
  • 作者:Amina El ouazzani ; Nouria Harbi ; Hassan Badir
  • 期刊名称:International Journal of Database Management Systems
  • 印刷版ISSN:0975-5985
  • 电子版ISSN:0975-5705
  • 出版年度:2016
  • 卷号:8
  • 期号:6
  • 页码:13
  • DOI:10.5121/ijdms.2016.8602
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:A data warehouse stores secret data about the privacy of individuals and important business activities. Thismakes access to this source a risk of disclosure of sensitive data. Hence the importance of implementingsecurity measures which guarantee the data confidentiality by establishing an access control policy. In thisdirection, several propositions were made, but none are considered as a standard for access managementto data warehouses. In this article, we will present our approach that allows first to exploit the permissionsdefined in the data sources in order to help the administrator to define access permissions to the datawarehouse, and then our system will automatically generate the sensitivity level of each data warehouseelement according to the permissions granted to an object in the data warehouse.
  • 关键词:Data Warehouse; Confidentiality; Profession profile; Crucial information; Traceability
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