Critical Feature Selection (CFS) Techniques for Early DDoS Attack Detection in the Internet of Things Environment
Author:
Affiliation:
1. School of Computer Engineering & Technology, Dr. Vishwanath Karad MIT World Peace University,Pune,India
2. School of Polytechnic & Skill Development, Dr. Vishwanath Karad MIT World Peace University,Pune,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10391946/10391947/10392251.pdf?arnumber=10392251
Reference18 articles.
1. A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks
2. Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques
3. SVM Based DDoS Attack Detection in IoT Using Iot-23 Botnet Dataset
4. An intelligent DDoS attack detection tree-based model using Gini index feature selection method
5. CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
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