基于身份动态持续认证的大数据平台访问信任技术研究

Research on trusted access technology of big data platform based onidentity dynamic continuous authentication

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。文章提出了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,实现了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,实现了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。

Ensuring the security of data flow is the core content of big data platform security.The data source of big data platform is complex and the data structure is diverse.The“dirty”data access to big data platform will lead to serious lack of credibility.After the data is processed by big data platform.The control of services,applications,and personnel access rights is not strict and can lead to serious data leakage incidents.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.