A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning
Joint Authors
Ma, Yan
Jia, Bin
Huang, Xiaohong
Liu, Rujun
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
The explosive growth of network traffic and its multitype on Internet have brought new and severe challenges to DDoS attack detection.
To get the higher True Negative Rate (TNR), accuracy, and precision and to guarantee the robustness, stability, and universality of detection system, in this paper, we propose a DDoS attack detection method based on hybrid heterogeneous multiclassifier ensemble learning and design a heuristic detection algorithm based on Singular Value Decomposition (SVD) to construct our detection system.
Experimental results show that our detection method is excellent in TNR, accuracy, and precision.
Therefore, our algorithm has good detective performance for DDoS attack.
Through the comparisons with Random Forest, k-Nearest Neighbor (k-NN), and Bagging comprising the component classifiers when the three algorithms are used alone by SVD and by un-SVD, it is shown that our model is superior to the state-of-the-art attack detection techniques in system generalization ability, detection stability, and overall detection performance.
American Psychological Association (APA)
Jia, Bin& Huang, Xiaohong& Liu, Rujun& Ma, Yan. 2017. A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1175311
Modern Language Association (MLA)
Jia, Bin…[et al.]. A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1175311
American Medical Association (AMA)
Jia, Bin& Huang, Xiaohong& Liu, Rujun& Ma, Yan. A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1175311
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175311