| 一种基于小波求解的DDoS攻击检测模型 |
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| 引用本文： | 吕佳,汤光明.一种基于小波求解的DDoS攻击检测模型[J].计算机应用研究,2011,28(4):1450-1452. |
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| 作者姓名： | 吕佳 汤光明 |
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| 作者单位： | 解放军信息工程大学,电子技术学院,郑州,450004 |
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| 摘 要： | 分析了小波求解检测DDoS攻击的方法，提出了一种基于小波求解的DDoS检测模型。通过实时监控网络的数据流量，形成实时流量序列，动态的更新分解尺度，对网络流量序列的长相关性的特征值Hurst指数实时监控，以此来检测DDoS攻击。实验证明，该模型能实时有效地检测到DDoS攻击的发生，检测率和误检率都较好，耗时较短。
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| 关 键 词： | DDoS攻击 小波分析 自相似 Hurst指数 |
| 收稿时间： | 2010/10/11 0:00:00 |
| 修稿时间： | 3/14/2011 9:08:05 PM |
DDoS attack detection model based on wavelet |
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| LV Ji,TANG Guang-ming.DDoS attack detection model based on wavelet[J].Application Research of Computers,2011,28(4):1450-1452. |
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| Authors: | LV Ji TANG Guang-ming |
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| Abstract: | After analyzing the detecting method, a DDoS attack detection model based on wavelet is proposed. The traffic serial is established according to monitor the network, then estimate the Hurst parameter which is the main character of the long range dependence, to check the change of the Hurst parameter to judge the server being attacked or not. Simulation results reveal that the proposed approach has a better detection rate and lower misdetection rate, and consumes less time. |
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| Keywords: | DDoS attack wavelet analysis self-similar hurst parameter |
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