Enhancing the Performance of Detect DRDoS DNS Attacks Based on the Machine Learning and Proactive Feature Selection (PFS) Model.

Enhancing Classification Accuracy through Cluster-Based Ensemble Learning and Adaptive Weighting

PhishNetVAE Cybersecurity Approach: An Integrated Variational Autoencoder and Deep Neural Network Approach for Enhancing Cybersecurity Strategies by Detecting Phishing Attacks

Hybrid Multi-Descriptor and Deep Belief Network Model for Acute Lymphoblastic Leukaemia Diagnosis

Hyper clustering model for dynamic network intrusion detection

AntDroidNet cybersecurity model: A hybrid integration of ant colony optimization and deep neural networks for android malware detection