大数据环境下访问控制模型适用性研究  

Access Control Model Applicability for Big Data

作　　者：陈垚坤 尹香兰[1] 刘文丽[1] 

机构地区：[1]江南计算技术研究所,江苏无锡214083

出　　处：《网络空间安全》2016年第7期3-5,11,共4页Cyberspace Security

基　　金：国家核高基项目(2013ZX01029002-001)

摘　　要：论文分析大数据的特点及体系架构,得出大数据环境下访问控制应满足的原则,即自主、动态、细粒度、跨域授权。通过对比分析访问控制模型DAC、MAC、RBAC及ABAC在大数据环境下适用性,得出结论:ABAC模型最适合应用于大数据。同时,论文针对大数据特性对各模型提出改进建议。This paper analyzes the characteristics and architecture of Big Data.The Conclusion shows that Big Data need an independent,dynamic, fine-grained,cross-domain access control model.The applicability of DAC, MAC, RBAC, ABAC in Big Data environment has been comparingly analyzed.The Conclusion shows that ABAC is the most applicable access control model for Big Data.The suggestions of making improvements to adapt to the Big Data features have been proposed for access control models.

关 键 词：大数据 访问控制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]