A Low-Rate Denial-of-Service Attack Detection Method Based on Haar Wavelet Analysis

CAI Xiao-li; CHEN Shun-qing; NING Hui

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A Low-Rate Denial-of-Service Attack Detection Method Based on Haar Wavelet Analysis

更新时间：2026-09-04

- A Low-Rate Denial-of-Service Attack Detection Method Based on Haar Wavelet Analysis
- Vol. 28, Issue 11, Pages: 102-105(2011)
- 作者机构：
  
  1. 常州工学院机构计算机信息工程学院,江苏,常州,213002
  2. 哈尔滨工程大学计算机科学与技术学院,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
蔡晓丽, 陈舜青, 宁慧. 一种基于Haar小波变换的低速率拒绝服务攻击检测方法[J]. 微电子学与计算机, 2011, 28(11): 102-105.

CAI Xiao-li, CHEN Shun-qing, NING Hui. A Low-Rate Denial-of-Service Attack Detection Method Based on Haar Wavelet Analysis[J]. 2011, 28(11): 102-105.
蔡晓丽, 陈舜青, 宁慧. 一种基于Haar小波变换的低速率拒绝服务攻击检测方法[J]. 微电子学与计算机, 2011, 28(11): 102-105. DOI：

CAI Xiao-li, CHEN Shun-qing, NING Hui. A Low-Rate Denial-of-Service Attack Detection Method Based on Haar Wavelet Analysis[J]. 2011, 28(11): 102-105. DOI：

摘要

依据LDoS攻击周期性脉冲突发的特点

提出一种基于Haar小波特征提取的低速率拒绝服务攻击检测方法.该方法采用信号处理技术来分析网络流量提取特征指标

通过小波多尺度分析对网络流量综合诊断

较好地缓解了合法用户背景流量对攻击特征提取的干扰.NS-2仿真实验结果表明

该方法检测率高

消耗计算资源少

具有良好的理论研究和实用价值.

Abstract

The traditional statistical testing based methods have the shortcomings of low efficiency and high false positives.To solve this problem

according to the characteristic of periodicity and short burst in LDoS flows

a detection method against LDoS attacks has been designed and implemented based on feature extraction using wavelet transform.The proposed method extracts five feature indices of LDoS flows through wavelet multi-scale analysis of network traffic.Experiment results show that the method

capable of detecting the LDoS attack

achieves high detection rate with low computation cost

and hence has good practical value.

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