A Machine Learning Approach for Detection of Distributed Denial of Service Attack Using Dynamic and Ensembled Feature Selection Technique

Abstract

Distributed Denial of Service (DDoS) attacks penetrate numerous computer systems and newlineimplant malicious codes, thereby making them ready for launching a collaborative attack. newline