大数据环境下数据智能可信服务系统研究

Research on Data Intelligent Trusted Service system In Big Data Environment

本文提出了一种面向人机集成环境的分布式数据智能可信服务系统模型。数据不再依赖于单一的集中式节点,而是建立在基于分布式分类账的分散式数据治理设施上,以便跟踪和审计数据整个生命周期的使用记录。同时,该模型提供了用户数据的私有检索功能,使用户可以在公共链上独立地搜索数据,用户可以实现自己数据的自认证,从而达到可信的目的。

This paper presents a distributed data intelligent trusted service system model for man-machine integration environment.Data is no longer dependent on a single centralized node,but is built on a decentralized data governance facility based on distributed ledger to track and audit the usage records of the whole life cycle of the data.At the same time,the model provides the private retrieval function of user data,so that users and users who need authorization can independently search user's data on the quasi public chain,and users can realize their own data self authentication,so as to achieve the pur pose of trust.