Dynamic Detection Method for Abnormal Traffic in Optical Communication Networks Based on Big Data Technology
With the rapid development of big data technology,optical fiber communication networks,as an important carrier of information transmission,have received widespread attention for their security and stability.Especially in the context of big data,the data traffic in optical fiber communication networks is huge and diverse,and the emergence of abnormal traffic can lead to network congestion,excessive resource utilization,and pose a serious threat to network security.Therefore,dynamic detection and analysis of abnormal traffic in optical fiber communication networks have become an urgent issue to be addressed in the field of network security.In this study,based on the big data environment,the dynamic detection methods and specific countermeasures of abnormal traffic in optical fiber communication networks are analyzed.
big dataoptical fiber communication networksdetection methods
NETL
NSTL
万方数据
