面向溯源的DDoS攻击检测技术综述

Jingjiu Chen, Lei Yang, Ziqiao Qiu
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引用次数: 0

摘要

目标攻击的识别与检测一直是当前环境下网络安全关注的问题。然而,DDoS攻击造成的经济损失也是巨大的。近年来,DDoS攻击检测主要在网络层的用户应用层取得了很大的进展。本文针对不同的检测方法和平台进行了综述和讨论。本文主要包括三个部分,分别综述了基于统计的机器学习检测、基于SDN平台的目标攻击检测和基于云服务平台的攻击检测。最后,对DDoS攻击检测提出了研究建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey of DDoS Attack Detection Technology for Traceability
Target attack identification and detection has always been a concern of network security in the current environment. However, the economic losses caused by DDoS attacks are also enormous. In recent years, DDoS attack detection has made great progress mainly in the user application layer of the network layer. In this paper, a review and discussion are carried out according to the different detection methods and platforms. This paper mainly includes three parts, which respectively review statistics-based machine learning detection, target attack detection on SDN platform and attack detection on cloud service platform. Finally, the research suggestions for DDoS attack detection are given.
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