以信息熵为基础的通信网络异常流量检测方法

Abnormal traffic detection method of communication network based on information entropy

随着互联网技术的迅速发展,网络安全问题层出不穷,异常流量检测就变得尤为重要。异常流量检测可以及时发现网络问题,降低网络攻击危害。针对源到端(OD)流链路中的数据流,提出一种基于信息熵的分布式异常流量检测方法,减少了网络流量异常的预处理时间和检测时间,提高了网络异常流量的检测效率。

With the rapid development of internet technology,network security issues are constantly emerging,and abnormal traffic detection becomes particularly important.Abnormal traffic detection can timely detect network problems and reduce the harm of network attacks.In this paper,a distributed anomaly traffic detection method based on information entropy is proposed to reduce the pre-processing time and detection time of network traffic anomalies,and improve the detection efficiency of network traffic anomalies.