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文章基本信息

  • 标题:Research and Practice of DataRBAC-based Big Data Privacy Protection
  • 本地全文:下载
  • 作者:Lanying, Huang ; Zenggang, Xiong ; Xuemin, Zhang
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • DOI:10.2174/1874110X20150610E002
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    With the presentation of the era of big data, big data not only brings our life and production positive help and bus also exposes us to uncertain risk. How to ensure a secure and private big data against current technical conditions is an urgent issue subject to answer. Facing the challenges of subscriber privacy protection and access control and others, the paper mainly studies the Role-Based Access Control (RBAC) and analyzes the demand for data item control from the point of view of data security and privacy protection and then raises an access control model based on data item and achieves the multiple control to the data item in the interface based on role when various subscriber operates same function. The practice application further proves its value.

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