Dynamic Evolving Cauchy Possibilistic Clustering Based on the Self-Similarity Principle (DECS) for Enhancing Intrusion Detection System.

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