Method of detecting network anomaly on multi-time-scale
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 Gauss...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2007-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74655858/ |
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| Summary: | 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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| ISSN: | 1000-436X |