Wavelet Traffic Detection Based on Variance

Zhang Yi, Mei Ting
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Abstract

This paper introduces in detail the realization principle and detection module, anomaly detection technology based on wavelet transform, the experimental results show that it is a effective method to detect traffic anomaly. But also can distinguish normal burst traffic and attack traffic, which improves the accuracy of alarm. But this method lower time complexity is also suitable for large flow of data processing.
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基于方差的小波流量检测
本文详细介绍了基于小波变换的异常检测技术的实现原理和检测模块,实验结果表明它是一种有效的交通异常检测方法。还可以区分正常突发流量和攻击流量,提高了报警的准确性。但该方法时间复杂度较低,也适用于大流量的数据处理。
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