Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics

Enhancing Phishing Detection: A Novel Hybrid Deep Learning Framework for Cybercrime Forensics

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 developed for real-time phish...

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Bibliographic Details
Main Authors: Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Nasir Ayub
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Phishing attack detection
deep learning
ResNeXt
gated recurrent unit
digital forensics
cyber security
Online Access:https://ieeexplore.ieee.org/document/10384876/

Internet

https://ieeexplore.ieee.org/document/10384876/

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