Detecting Bandwidth DDoS Attack with Control Charts

Anderson Fernandes P. Santos, Renato Simões Silva
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引用次数: 3

Abstract

The distributed denial of service, DDoS, is an internet-wide threat and can be identified in the initial phase through the anomalous behavior of the network traffic. We present a control chart theory approach for the problem of detection this kind of attack, it is designed for non-normal process and is based on the evaluation of estimators that have a minimal variance estimation process position and scattering, whatever the data distribution. We proposed an algorithm to identify the DDoS attacks analyzing these estimators behavior.
利用控制图检测带宽DDoS攻击
分布式拒绝服务(DDoS)是一种互联网范围的威胁,可以通过网络流量的异常行为在初始阶段识别出来。针对这类攻击的检测问题,我们提出了一种控制图理论方法,它是针对非正态过程而设计的,它基于具有最小方差的估计量的评估,无论数据分布如何,估计过程的位置和散射都是最小的。通过分析这些估计器的行为,提出了一种识别DDoS攻击的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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