Advances in Anti-Surveying-and-Mapping Theory and Technologies for Data Infrastructure

China is deepening its digital transformation and promoting a data-driven action plan, proposing new requirements for the construction of data infrastructure. Like conventional information infrastructure types, data infrastructure needs to possess an anti-surveying-and-mapping capability to avoid be...

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Bibliographic Details
Main Authors: Xiangyang Xue, Hong Zou, Jin Zhao, Zhe Zhou, Yuting Shang, Jiangxing Wu
Format: Article
Language:zho
Published: 《中国工程科学》杂志社 2025-02-01
Series:中国工程科学
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Online Access:https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2025.09.027
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Summary:China is deepening its digital transformation and promoting a data-driven action plan, proposing new requirements for the construction of data infrastructure. Like conventional information infrastructure types, data infrastructure needs to possess an anti-surveying-and-mapping capability to avoid being detected in one-way and transparent manners. The anti-surveying-and-mapping capability of data infrastructure has become a fundamental requirement for data space security, directly related to the information security of a country, society, and individuals. This study outlines the basic concepts of data infrastructure surveying-and-mapping and anti-surveying-and-mapping, analyzes the development status, major characteristics, and key problems of mainstream anti-surveying-and-mapping technologies, and proposes the theory, methods, and key technologies of anti-surveying-and-mapping with endogenous security, to solve the key problem of inherent measurability of data assets under the existing network architecture. To this end, the following suggestions are proposed: strengthening research on the basic theories and key technologies regarding data space anti-surveying-and-mapping; taking anti-surveying-and-mapping capability as the basic requirement of national data infrastructure construction; and increasing support for key technology research, industry incubation, multidisciplinary integration, and industry-university-research collaboration.
ISSN:1009-1742