Interpretable Memory-behavior Modeling for Malware Detection Using Additive Explainable Learning.

UCD-MP-IoTIDF: A Unified Cross-domain and Multi-protocol Intrusion Detection Framework with Calibrated Deep Learning and Multi-criteria Decision Making-based Model Selection.

Causal-Temporal Graph Learning for Early Lateral Movement Detection in Enterprise Networks

HSD-GNN: An Explainability-guided Hybrid Static-dynamic Graph Neural Network for Intelligent Malware Detection.

The Lying Honeypot: An AI-Driven Cyber Deception Framework for Behavioral Threat Intelligence and Attacker Profiling

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