Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics
Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics FS Alsubaei, AA Almazroi, N Ayub Protecting against interference is essential at a time when wireless communications are essential for sending large amounts of data. Our research presents a novel deep learning technique, the ResNeXt method and embedded Gated Recurrent Unit (GRU) model (RNT), rigorously […]

