现代电子技术2017，Vol.40Issue(24)：9-11,14,4.DOI:10.16652/j.issn.1004-373x.2017.24.003
基于角色与信任的访问控制及其在Hadoop上的实现
Access control based on role and trust and its implementation on Hadoop
摘要
Abstract
The Hadoop cloud computing platform has become one of the most popular platforms nowadays,and its security issues are being improved. Access control is an effective way to protect the safety of the Hadoop platform. An access control model based on role and trust is proposed according to the improvement of the access control based on the role and the trust. In this model,the neural network algorithm is adopted to analyze the log files obtained from the Hadoop platform,so that each user′s trust can be obtained. The cluster assigns permissions to each user according to the user′s trust.关键词
访问控制/神经网络算法/Hadoop平台/用户权限分配Key words
access control/neural network algorithm/Hadoop platform/user permission distribution分类
信息技术与安全科学引用本文复制引用
于万钧,沈斌,周兰凤..基于角色与信任的访问控制及其在Hadoop上的实现[J].现代电子技术,2017,40(24):9-11,14,4.基金项目
国家自然科学基金资助项目(41671402) （41671402）
