基于知识联邦的数据要素流通创新体系

An innovative system of data element circulation based on knowledge federation

随着大数据和人工智能的蓬勃发展,如何保护数据安全已然成为亟需解决的问题。在此背景下,隐私计算技术提供了一种新型的数据要素流通模式。结合大数据、人工智能、密码学,提出一种基于知识联邦的数据要素流通创新体系以解决当前数据要素流通面临的初级业务问题,以及不同等级数据的安全性和隐私性问题,充分发挥数据的业务价值,并实现量化,通过数据价值评估推进数据要素市场流通的良性循环。

With the rapid development of big data and artificial intelligence,how to protect data security has become an urgent problem.Against this backdrop,the privacy-preserving computation technology provides a new circulation mode of data elements.Combined with big data,artificial intelligence and cryptography,an innovative system of data element circulation based on knowledge federation is proposed.It solves the primary business problems faced by the current data element circulation,and the security and privacy problems of different levels of data.In addition,it gives full play to the business value of the data,and realizes quantification,thus creating a virtuous circle of data element circulation through the data value evaluation.