大数据平台上基于属性的角色访问控制模型  

Attribute-Based Role Access Control Model on Big Data Platform

作　　者：苏秋月 SU Qiu-yue(College of Computer Science, Sichuan University, Chengdu 610065)

机构地区：[1]四川大学计算机学院,成都610065

出　　处：《现代计算机》2019年第3期21-24,共4页Modern Computer

摘　　要：针对传统访问控制模型难以满足大数据平台中大规模用户对海量数据灵活动态访问控制的问题。提出大数据平台上基于属性的角色访问控制模型,该模型将基于属性的策略应用到基于角色的访问控制模型。用户根据自身属性和环境属性分配角色,从而访问不同属性的数据;引入大数据平台多层访问框架,将权限访问对象分为组件和数据,利用属性策略统一管理访问权限。The traditional access control model can't satisfy the problem of large-scale users' flexible and dynamic access control to massive data in big data platform. Proposes an attribute-based role access control model on big data platform, which applies the attribute-based strategy to the role-based access control model. Users assign roles according to their own attributes and environmental attributes to access data of dif. ferent attributes. Introduces a multi-layer access framework of big data platform, divides access objects into components and data, and uni. formly manages access rights by using property policies.

关 键 词：大数据平台 访问控制 属性 动态 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]