DDoS attack network traffic identification based on machine learning
Distributed denial-of-service(DDoS)attacks have become a serious network security threat.This paper introduces the concept,main types and characteristics of DDoS attacks,summarizes the current research status in the field of network traffic analysis,proposes methods to construct traffic statistical features and apply principal component analysis for traffic dimensionality reduction,and uses support vector machine and random forest algorithms to identify and classify DDoS attack traffic.