大数据技术在计算机网络信息安全管控中的应用

Application of Big Data Technology in Computer Network Information Security Control

探索将大数据技术应用于计算机网络信息安全管理,提出一种基于大数据的网络安全管理方法,通过异常检测、关联分析及情报共享等步骤,实现对网络安全威胁的全面感知和精准防控。实验结果表明,所提方法在检测率、误报率及响应时间等关键指标上优于传统安全管理技术,为新时代网络安全防护体系建设提供了新思路和新方法。

This article explores the application of big data technology in computer network information security management and proposes a big data based network security management method.Through steps such as anomaly detection,correlation analysis,and intelligence sharing,it achieves comprehensive perception and precise prevention and control of network security threats.The experimental results show that this method outperforms traditional security management techniques in key indicators such as detection rate,false alarm rate,and response time,providing new ideas and methods for the construction of network security protection systems in the new era.