西安电子科技大学学报（自然科学版）Issue(1)：155-160,6.DOI:10.3969/j.issn.1001-2400.2015.01.025
一种基于SDN的在线流量异常检测方法
Online traffic anomaly detection method for SDN
摘要
Abstract
Based on the centralized control plane in SDN,an online traffic anomaly detection method (OpenTAD) is proposed.Firstly the flow table statistic is collected from the controller online,and the traffic matrix and sample entropy matrix are constructed and assembled.Then the PCA method is used to detect the abnormal traffic.The result of experiments show that,compared with the traditional PCA method which disposes the traffic matrix or the entropy matrix respectively offline,the OpenTAD is simple and effective,and traffic anomaly could be isolated rapidly.This method is a lightweight online traffic anomaly detection method for SDN.关键词
在线流量异常检测方法网络/软件定义网络/流量异常/在线检测/主成分分析Key words
OpenFlow network/software defined network/traffic anomaly/online detection/principal component analysis分类
信息技术与安全科学引用本文复制引用
左青云,陈鸣,王秀磊,刘波..一种基于SDN的在线流量异常检测方法[J].西安电子科技大学学报（自然科学版）,2015,(1):155-160,6.基金项目
国家“973”重点基础研究计划基金资助项目(2012CB315806) （2012CB315806）
国家自然科学基金资助项目(61070173,61103225) （61070173,61103225）
