摘要
数据空间技术已成为保护数据主权、释放数据要素价值的关键技术之一.针对数据空间中数据出域难、参与方之间缺乏信任、数据共享难、大规模数据交换效率低等问题,探讨了面向数据空间的数据自感知接入技术,旨在提升数据共享、流通、交换和交易的可信性、安全性、透明度和可度量性.研究通过采用Apache Pulsar和基于异常识别的感知技术,构建了全流程数据自感知接入平台,为搭建支持海量、多源、异构、多类型数据基础设施提供一种技术架构实现.
Abstract
Data space technology has become one of the key technologies to protect data sovereignty and release the value of data elements.Aiming at the problems such as data departure from domain,lack of trust between participants,difficulty in data sha-ring,and low efficiency of large-scale data exchange,this paper discusses the data self-aware access technology in data space,ai-ming to enhance the trustworthiness,security,transparency,and measurability of data sharing,circulation,exchange,and trans-action.The research adopts Apache Pulsar and anomaly recognition-based perception technology to build a full-process data self-aware access platform,which provides a technical architecture for building a data infrastructure that supports massive,multi-source,heterogeneous,and multi-type data.
维普
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