DDoS detection based on wavelet kernel support vector machine

中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (3): 59-63.doi:

• Artificial Intelligence • 上一篇下一篇

DDoS detection based on wavelet kernel support vector machine

杨明慧;王汝传

College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

收稿日期:2007-10-10 修回日期:1900-01-01 出版日期:2008-09-30
通讯作者: 王汝传

DDoS detection based on wavelet kernel support vector machine

YANG Ming-hui, WANG Ru-chuan

College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2007-10-10 Revised:1900-01-01 Online:2008-09-30

摘要/Abstract

摘要：

To enhance the detection accuracy and deduce false positive rate of distributed denial of service (DDoS) attack detection, a new machine learning method was proposed. With the analysis of support vector machine (SVM) and the wavelet kernel function theory, an admissive support vector kernel, which is a wavelet kernel constructed in this article, implements the combination of the wavelet technique with SVM. Then, wavelet support vector machine (WSVM) is applied to DDoS attack detections and as a classifying means to test the validity of the wavelet kernel function. Simulation experiments show that under the same conditions, the predictive ability of WSVM is improved and the computation burden is alleviated. The detection accuracy of WSVM is higher than the traditional SVM by about 4%, while its false positive is lower than the traditional SVM. Thus, for DDoS detections, WSVM shows better detection performance and is more adaptive to the changing network environment.

关键词:

wavelet;kernel;function,;wavelet;supporting;vector;machine,;DDoS;detection

Abstract:

Key words:

wavelet kernel function;wavelet supporting vector machine;DDoS detection

YANG Ming-hui, WANG Ru-chuan

. DDoS detection based on wavelet kernel support vector machine[J]. Acta Metallurgica Sinica(English letters), 2008, 15(3): 59-63.

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DDoS detection based on wavelet kernel support vector machine

DDoS detection based on wavelet kernel support vector machine

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