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LDDoS attack detection method based on wavelet decomposition and sliding windows

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As a special type of distributed denial of service (DDoS) attacks,the low-rate DDoS (LDDoS) attacks have characteristics of low average rate and strong concealment,thus,it is hard to detect such attacks by traditional approaches.Through signal analysis,a new identification approach based on wavelet decomposition and sliding detecting window is proposed.Wavelet decomposition extracted from the traffic are used for multifractal analysis of traffic over different time scale.The sliding window from flow control technology is designed to identify the normal and abnormal traffic in real-time.Experiment results show that the proposed approach has advantages on detection accuracy and timeliness.

low-rate distributed denial of service attackswavelet analysissliding windowsdetection

Liu Liang、Feng Wenzhi、Wu Zhijun、Yue Meng

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School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China

This work was supported by the Joint Funds of National Natural Science Foundation of China and Civil Aviation Administration of National Science Foundation for Young Scientists of ChinaKey Program of Natural Science Foundation of TianjinFundamental Research Funds for the Central Universities of China

U19331086160146717JCZDJC309003122019051

2020

中国邮电高校学报(英文版)
北京邮电大学

中国邮电高校学报(英文版)

CSCDEI
影响因子：0.419
ISSN：1005-8885
年,卷(期)：2020.27(1)
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