Open Access
ARTICLE
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning
Jieren Cheng1, 2, Junqi Li2, *, Xiangyan Tang2, Victor S. Sheng3, Chen Zhang2, Mengyang Li2
1 Key Laboratory of Internet Information Retrieval of Hainan Province, Hainan University, Haikou, China.
2 College of Information Science & Technology, Hainan University, Haikou, China.
3 Department of Computer Science, University of Central Arkansas, Conway, AR 72035, USA.
* Corresponding Author: Junqi Li. Email: .
Computers, Materials & Continua 2020, 62(3), 1423-1443. https://doi.org/10.32604/cmc.2020.06176
Abstract
Distributed Denial of Service (DDoS) attack has become one of the most
destructive network attacks which can pose a mortal threat to Internet security. Existing
detection methods cannot effectively detect early attacks. In this paper, we propose a
detection method of DDoS attacks based on generalized multiple kernel learning (GMKL)
combining with the constructed parameter R. The super-fusion feature value (SFV) and
comprehensive degree of feature (CDF) are defined to describe the characteristic of attack
flow and normal flow. A method for calculating R based on SFV and CDF is proposed to
select the combination of kernel function and regularization paradigm. A DDoS attack
detection classifier is generated by using the trained GMKL model with R parameter. The
experimental results show that kernel function and regularization parameter selection
method based on R parameter reduce the randomness of parameter selection and the error
of model detection, and the proposed method can effectively detect DDoS attacks in
complex environments with higher detection rate and lower error rate.
Keywords
Cite This Article
APA Style
Cheng, J., Li, J., Tang, X., Sheng, V.S., Zhang, C. et al. (2020). A novel ddos attack detection method using optimized generalized multiple kernel learning. Computers, Materials & Continua, 62(3), 1423-1443. https://doi.org/10.32604/cmc.2020.06176
Vancouver Style
Cheng J, Li J, Tang X, Sheng VS, Zhang C, Li M. A novel ddos attack detection method using optimized generalized multiple kernel learning. Comput Mater Contin. 2020;62(3):1423-1443 https://doi.org/10.32604/cmc.2020.06176
IEEE Style
J. Cheng, J. Li, X. Tang, V.S. Sheng, C. Zhang, and M. Li "A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning," Comput. Mater. Contin., vol. 62, no. 3, pp. 1423-1443. 2020. https://doi.org/10.32604/cmc.2020.06176
Citations