Key technologies for data self-sensing access in data space
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.