Open access
Sep 2026
Lightweight AI Models for Cyber Threat Detection: An Evaluation of MobileNetV2, Random Forest, and CNN-LSTM for Phishing and Network Anomaly Detection
This work contributes a comparative evaluation of lightweight detection models, consistent attention to security-critical metrics, and interpretable insights to support practical cybersecurity deployment.
Nwagbara Chisom Telvin, Gilbert Imuetin Osaze Aimufua, Raymond Ternenge Igbudu
· FUDMA Journal of Sciences · 0 citations