摘要
大数据平台作为核心数据的存储、计算的统一载体,其数据来源复杂、结构多样,而"脏"数据的接入、服务应用、人员访问权限的控制缺失,会导致完整性、可信性的闭环失效。文章提出一种基于身份动态持续认证的大数据平台访问信任技术体系,实现与大数据平台相关的采集设备、应用服务、API接口、人员权限的联动,并基于终端环境感知完成动态持续认证,实现大数据平台的数据采集传输、存储、使用等全生命周期的安全防护,为企业建设大数据平台访问信任体系提供技术支撑。
As the storage of core data and the unified carrier of computing,the big data platform has complex data sources and diverse structures,while the access of "dirty" data,the lack of control of service application and personnel access authority will lead to the closed loop failure of integrity and credibility.This paper studies a big data platform access trust technology based on identity dynamic continuous authentication,realizes the identity of terminals,collection devices,applications,services,interfaces and personnel information related to big data platform,and implements dynamic continuous authentication based on terminal environment awareness to realize the security protection of data collection,transmission,storage,use and sharing of big data platform,and provide reference for enterprises to build security system of big data platform access trust system.
作者
施麟
张骏
陈宁
Shi Lin;Zhang Jun;Chen Ning(Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Jiangsu Financial Information Management Center,Nanjing 210024,China;Jiangsu Water Conservancy Network Data Center,Nanjing 210029,China)
出处
《江苏科技信息》
2019年第35期29-32,共4页
Jiangsu Science and Technology Information
关键词
大数据平台
数据安全
动态持续认证
访问信任
big data platform
data security
dynamic continuous authentication
access trust
