摘要
在面对大数据平台海量用户时,数据安全成为了人们首要考量的问题之一。传统动态访问控制数据量巨大,需要对其进行有效的多层访问控制,进行合理区隔后配合其他管理手段,从而实现有效的安全防控。基于此,笔者以角色访问控制为手段,探究此种分层访问控制框架的制定与应用。
In the face of massive users of large data platforms,data security has become one of the most important issues for people to consider.Traditional dynamic access control(DAC)has a huge amount of data,which requires effective multi-layer access control,reasonable partition and cooperation with other management means,so as to achieve effective security prevention and control.Based on this,the author takes role access control as a means to explore the formulation and application of this hierarchical access control framework.
作者
卢水英
Lu Shuiying(Ganxi Vocational Institute of Science and Technology,Xinyu Jiangxi 338000,China)
出处
《信息与电脑》
2019年第6期33-34,共2页
Information & Computer
关键词
大数据
角色属性
访问控制
数据安全
big data
role attributes
access control
data security
