The Journal of China Universities of Posts and Telecommunications ›› 2020, Vol. 27 ›› Issue (1): 51-61.doi: 10.19682/j.cnki.1005-8885.2020.0009

• Networks • Previous Articles     Next Articles

LDDoS attack detection method based on wavelet decomposition and sliding windows


  • Received:2019-07-03 Revised:2019-12-02 Online:2020-02-28 Published:2020-02-28
  • Contact: Liang LIU

Abstract: 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.

Key words: low-rate distributed denial of service attacks, wavelet analysis, sliding windows, detection