EventsThe 6th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarEugenio Vocaturo
Citation
Usman Abubakar Mahmud, Abdulrauf Garba Sharifai, Abubakar Salisu Bashir, Abdulkadir Abubakar Bichi, Abubakar Ado, Mansir Abubakar, Hybrid VGG19-TCN with Multi-Channel Temporal Attention for Phishing Attack Detection, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Hybrid VGG19-TCN with Multi-Channel Temporal Attention for Phishing Attack Detection

Abdulrauf Garba Sharifai 1
Abdulkadir Abubakar Bichi 3
1. Computer Science Department, Faculty of Computing Northwest University, Kano, Nigeria
2. Department of Computer Science, Faculty of Computing and Mathematical Science, Aliko Dangote University of Science and Technology, Wudil, Nigeria
3. Software Engineering Department, Faculty of Computing, Northwest University, Kano, Nigeria
4. Faculty of Computing, Northwest University, Kano, Nigeria
5. Faculty of Computer Science and Mathematics, Universiti Teknologi Mara, Shah Alam, Selangor, Malaysia
Abstract
Keywords
Temporal Convolutional Network
Visual Geometry Group
Multi-Channel Temporal Attention
Convolutional Neural Network
Phishing attacks