This study aims to construct and improve a network security situation awareness system in the big data environment.By analyzing the system platform architecture and technical architecture,the design and implementation of the system in security defense,threat intelligence acquisition and sharing,and continuous monitoring of asset status are studied.The research results indicate that the system significantly improves the accuracy and response speed of anomaly detection and attack chain analysis by integrating multiple security technologies and big data analysis methods.The research results are of great significance for enhancing the network security protection capabilities of enterprises,timely responding to and dealing with potential threats.The optimization of the system functions will be continued,and the integration of big data and artificial intelligence technology will be deepened in the future.
big datanetwork securitysituation awarenesssystem platform
维普
万方数据
