Feature Modeling and Dimensionality Reduction to Improve ML-Based DDOS Detection Systems in SDN Environment-Reference-Cited by-同舟云学术

Feature Modeling and Dimensionality Reduction to Improve ML-Based DDOS Detection Systems in SDN Environment

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Setitra Mohamed Ali¹,Benkhaddra Ilyas²,Abidine Bensalem Zine El¹,Fan Mingyu¹

Affiliation:

1. University of Electronic Science and Technology of China,School of Computer Science and Engineering (Cyberspace Security),Chengdu,China,611731

2. University of Electronic Science and Technology of China,School of Information and Software Engineering,Chengdu,China,610054

Publisher

IEEE

Link

Reference22 articles.

3. Machine learning ddos detection using stochastic gradient boosting;prasad;Int J Comput Sci Eng,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combination of Hybrid Feature Selection and LSTM-AE Neural Network for Enhancing DDOS Detection in SDN;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

2. Toward Delegating the Detection of DDOS Attacks to the SDN Data Plane: A Security Perspective;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15