DDoS Detection Using Information Gain Feature Selection and Random Forest Classifier-Reference-Cited by-同舟云学术

DDoS Detection Using Information Gain Feature Selection and Random Forest Classifier

Published:2022-12-15 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
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Author:

Mandala Satria¹,Ramadhan Alvien Ihsan¹,Rosalinda Maya²,Zaki Salim M.³,Weippl Edgar⁴

Affiliation:

1. Telkom University,Human Centric (HUMIC) Engineering & School of Computing,Bandung,Indonesia

2. Telkom University,Human Centric (HUMIC) Engineering,Bandung,Indonesia

3. Dijlah University College,Department of Computer Science,Baghdad,Iraq

4. University of Vienna,Faculty of Computer Science,Vienna,Austria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037752/10037789/10038126.pdf?arnumber=10038126

Reference22 articles.

1. Machine-Learning-Based Online Distributed Denial-of-Service Attack Detection Using Spark Streaming

2. DDoS attack detection using machine learning techniques in cloud computing environments;zekri;Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications CloudTech 2017,2018

3. Machine Learning based DDOS Detection;shanmuga priya;2020 Int Conf Emerg Smart Comput Informatics ESCI 2020,2020

4. A DDoS Attack Mitigation Scheme in ISP Networks Using Machine Learning Based on SDN

5. Distributed Denial-of-Service Attack Detection and Mitigation Using Feature Selection and Intensive Care Request Processing Unit;bharot;Arabian Journal for Science and Engineering 2017 43 2,2017

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