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

Adaptive Federated Intrusion Detection Framework Using Quantum-Enhanced Harris Hawks Optimization for Edge-Based 6G Networks

URL-Based Phishing Detection: A Comprehensive Review and New Taxonomy

AEGIS-BCO: a federated graph–temporal intelligence framework with outcome-aware multi-criteria decision making for proactive cybersecurity against evolving DDoS threats

Hybrid EEG Feature Fusion Framework for Accurate Autism Spectrum Disorder Diagnosis Using Ensemble Learning

EMBER-Based Static Malware Detection: A Critical Review of Accuracy, Explainability, and Temporal Robustness Trade-offs