Method of detecting network anomaly on multi-time-scale

WANG Feng-yu1; YUN Xiao-chun1; CAO Zhen-zhong4

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Method of detecting network anomaly on multi-time-scale

更新时间：2024-10-14

- Method of detecting network anomaly on multi-time-scale
- Issue 12, Pages: 60-65(2007)
- 作者机构：
  
  中国科学院计算技术研究所 2. 曲阜师范大学计算机科学学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2007
- 稿件说明：
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WANG Feng-yu1, YUN Xiao-chun1, CAO Zhen-zhong4. Method of detecting network anomaly on multi-time-scale[J]. 2007, (12): 60-65.
DOI：

WANG Feng-yu1, YUN Xiao-chun1, CAO Zhen-zhong4. Method of detecting network anomaly on multi-time-scale[J]. 2007, (12): 60-65. DOI：

摘要

为了改善高速网络环境下异常检测的准确性和及时性

提出了一种多时间尺度同步的异常检测算法DA-MTS。该算法通过无抽取Haar小波变换对网络流量时间序列进行预处理

获得的细节信号逼近高斯白噪声

根据正态分布的"3σ"法则可以判断细节信号中存在的异常变化。分析和实验表明

该算法能够同时在多个时间尺度上以递推方式进行无延迟的异常检测

不但提高了异常检测的准确性

而且保证了异常发现的及时性。

Abstract

To detect anomaly timely and precisely in high-speed network

an algorithm

named DA-MTS（detecting anomaly on multi-time-scale synchronously）

was proposed.Firstly

pre-process the time series of traffic with non-decimated Haar wavelet transform to produce detail signals

which approximately follow Gaussian white noise.Then detect anomaly based on "3σ" principal of normal distribution.Analysis and experiments reveal that this algorithm can detect anomaly on several time-scales recursively without delay

so it can detect anomaly precisely and timely.

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