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cs.CR2026
Filter-then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks
Barsat Khadka, Prasant Koirala, Kshitiz Neupane +1
Social engineering attacks exploit human trust rather than software vulnerabilities, making them difficult to detect using conventional filters. We propose a two-stage filter-then-…
cs.CR2026
AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning
Oluseyi Olukola, Nick Rahimi
Machine learning based network intrusion detection systems are vulnerable to adversarial attacks that degrade classification performance under both gradient-based and distribution…
cs.CR2025
Machine Learning-Based AES Key Recovery via Side-Channel Analysis on the ASCAD Dataset
Mukesh Poudel, Nick Rahimi
Cryptographic algorithms like AES and RSA are widely used and they are mathematically robust and almost unbreakable but its implementation on physical devices often leak informatio…