Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems

• Published in: International Conference on Systems, Signals, and Image Processing (Online) pp. 1 - 6
• Main Authors: Lucas, Thiago Jose, Passos, Leandro Aparecido, Rodrigues, Douglas, Jodas, Danilo, Papa, Joao Paulo, Da Costa, Kelton Augusto Pontara, Scherer, Rafal
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.07.2024
• Subjects: Cybersecurity; Ensemble Learning; Explainable AI; Image processing; Intrusion detection; Learning (artificial intelligence); NSL-KDD; Robustness; Training

Several recent studies demonstrate that Intrusion Detection Systems (IDS) leveraging Ensemble learning techniques can effectively reduce the misclassification of malicious traffic on computer networks. However, identifying an optimal combination of classifiers often presents a significant challenge...