网络安全与数据治理2025，Vol.44Issue(5)：17-20,4.DOI:10.19358/j.issn.2097-1788.2025.05.003
基于数据驱动的网络安全态势感知预测
Data-driven network security situational awareness and prediction
吴宝江1
作者信息
- 1. 中国电子科技集团有限公司电子科学研究院,北京 100041
- 折叠
摘要
Abstract
The rapid development of cloud computing and the Internet has led to the explosive growth of network data,and the en-suing network threats have become increasingly complex.A large amount of data has brought huge security risks to the network.Traditional security measures are often insufficient to resist these constantly changing network security threats.It is necessary to comprehensively apply technologies such as artificial intelligence and machine learning to from data-driven intelligent data applica-tions,using situational data collection,big data correlation analysis,security threat analysis and other means to achieve real-time monitoring of network security threats and predict potential network attack behaviors.It can support dynamic adjustment of defense strategies,and improve the overall effectiveness of network security defense.In addition,data-driven security situational aware-ness and prediction systems can help network security managers enrich their related professional knowledge of network risks,and make better judgments and decisions in actual network security threat scenarios.关键词
数据驱动/安全态势感知预测/人工智能/机器学习/安全防御Key words
data-driven/security situational awareness and prediction/artificial intelligence/machine learning/security defense分类
电子信息工程引用本文复制引用
吴宝江..基于数据驱动的网络安全态势感知预测[J].网络安全与数据治理,2025,44(5):17-20,4.
