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SDN中基于C4.5决策树的DDoS攻击检测

刘俊杰 王珺 王梦林 王悦

计算机工程与应用2019,Vol.55Issue(20):84-88,127,6.
计算机工程与应用2019,Vol.55Issue(20):84-88,127,6.DOI:10.3778/j.issn.1002-8331.1808-0343

SDN中基于C4.5决策树的DDoS攻击检测

DDoS Attack Detection Based on C4.5 in SDN

刘俊杰 1王珺 1王梦林 1王悦1

作者信息

  • 1. 南京邮电大学 通信与信息工程学院,南京 210003
  • 折叠

摘要

Abstract

Software Defined Network(SDN)is an emerging network architecture. Its separation of control and forward-ing architecture brings great convenience and flexibility to network management, but it also brings new security threats and challenges. By performing the Distributed Denial of Service(DDoS)attack on the centralized controller of the SDN, the attacker will make the information unreachable and cause network congestion. In order to detect the DDoS attack, a detection method based on the C4.5 decision tree is proposed. It extracts information from each switch flow entry, then generates a decision tree to classify traffic to realize the detection of DDoS attacks. Finally, the experimental results show that the method has higher detection success rate, lower false alarm rate and less detection time.

关键词

软件定义网络/分布式拒绝服务攻击/C4.5决策树

Key words

Software Defined Network(SDN)/Distributed Denial of Service(DDoS)attack/C4.5 decision tree

分类

信息技术与安全科学

引用本文复制引用

刘俊杰,王珺,王梦林,王悦..SDN中基于C4.5决策树的DDoS攻击检测[J].计算机工程与应用,2019,55(20):84-88,127,6.

基金项目

国家自然科学基金(No.61571233). (No.61571233)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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