网络空间
资产(计算机安全)
计算机科学
传感器融合
钥匙(锁)
数据科学
计算机安全
工程类
万维网
互联网
人工智能
作者
Wanli Kou,Ni Lin,Jia Du
出处
期刊:Communications in computer and information science
日期:2022-01-01
卷期号:: 566-574
被引量:2
标识
DOI:10.1007/978-3-031-06761-7_45
摘要
With the rapid development of the network, various businesses continue to appear, and the number of cyberspace protection targets is increasing exponentially. How to find out the family background, recognize the risks, find out the loopholes and perceive the network security situation is an urgent problem to be solved. This paper briefly introduces the related concepts of cyberspace and cyberspace surveying and mapping, then analyzes the technical system of cyberspace surveying and mapping, and puts forward the iterative evolution technical framework of five links: target classification, collaborative detection, fusion analysis, visual mapping and system application. Among them, target classification is the basis of cyberspace surveying and mapping, and collaborative detection and fusion analysis are the key of Surveying and mapping, Visual mapping is the efficiency presentation of Surveying and mapping, and system application is the final surveying and mapping goal. Several stages of cyclic evolution make the surveying and mapping ability of cyberspace rise spirally. The purpose of this paper is to quickly and accurately find all kinds of asset targets in the network, timely perceive asset risk, and lay the foundation for the research progress of cyberspace mapping.
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