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Author:

Wang, Xiujuan (Wang, Xiujuan.) | Zheng, Kangfeng (Zheng, Kangfeng.)

Indexed by:

EI Scopus

Abstract:

The paper proposes to apply Empirical Mode Decomposition (EMD) to network traffic signal. Then the corresponding intrinsic mode functions (IMFs) are obtained to calculate their Hurst index based on which the influence to the IMF Hurst after DDoS attack was analyzed. Finally, it makes a judgment on whether a DDoS attack happened or not by solving the IMF Hurst index of the unsure sequence. Experimental results show that, compared with the original signal Hurst index assay, this method can increase detection precision and CI, reduce the rate of false positives and false negative. The method behaves well in distinguishing attacked traffic from normal ones. © 2011 IEEE.

Keyword:

Functions Denial-of-service attack Signal processing Traffic signals

Author Community:

  • [ 1 ] [Wang, Xiujuan]College of Computer Sciences, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zheng, Kangfeng]School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

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Source :

Year: 2011

Page: 483-486

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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