Key technologies for data self-sensing access in data space
Xie Yunlong1，Song Yulun1，Xu Wenjing1, Sun Lin1, Gao Zexin2
1.Unicom Digital Technology Co., Ltd.; 2.Beijing Institute of Technology
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 sharing, and low efficiency of large-scale data exchange, this paper discusses the data self-aware access technology in data space, aiming to enhance the trustworthiness, security, transparency, and measurability of data sharing, circulation, exchange, and transaction. 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.
Key words : data space; intelligent perception; anomaly detection
可信數(shù)據(jù)空間（Trusted Data Matrix, TDM）作為一種新興概念，可被視為數(shù)據(jù)資源共享的數(shù)字化基礎設施［4-5］。TDM旨在促進不同利益相關方在維護數(shù)據(jù)主權的前提下，實現(xiàn)數(shù)據(jù)的可信、安全、透明共享與交換。數(shù)據(jù)空間的概念最初在歐洲提出，并伴隨著國際數(shù)據(jù)空間（International Data Space，IDS）參考架構的發(fā)布，為各類企業(yè)提供了產品研發(fā)的理論基礎［6］。
