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.
维普
万方数据