Enhanced Multi-Class DDoS Attack Identification using a Meta-Learning Ensemble
This paper introduces a robust intrusion detection framework centered around a high-accuracy, multi-class classification model designed to precisely identify various DDoS attack types, integrating Long Short-Term Memory, K-Nearest Neighbors, and Random Forest models, whose outputs are synthesized by a Logistic Regressi...