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

Hadoop云计算平台已经成为当今社会最流行的平台之一,它的安全问题也在改进,访问控制是保护Hadoop平台安全的一种有效途径。依据基于角色的访问控制和基于信任的访问控制,并在此基础上进行改进,提出一种基于角色与信任的访问控制模型。该模型主要根据Hadoop平台的日志文件,运用神经网络算法对日志文件进行分析,以此来获得每一个用户的信任度。集群根据用户的信任度来分配用户拥有的权限。

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.