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Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers Cover

Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers

International Journal on Smart Sensing and Intelligent Systems
Volume 17 (2024): Issue 1 (January 2024)
By: Jahangir Shaikh,  Toqeer Ali Syed,  Syed Aziz Shah,  Salman Jan,  Qurat Ul Ain and  Pradeep Kumar Singh  
Open Access
|Dec 2024

Authors

Jahangir Shaikh

Department of Computing and Engineering, Abasyn University, Islamabad, Pakistan

Toqeer Ali Syed

Department of Information Technology, Faculty of Computer and Information System, Islamic University of Madinah, Madinah, Saudi Arabia

Syed Aziz Shah

Department of Health and Life Sciences, Coventry Center for Intelligent Healthcare, Coventry University, Coventry, UK

Salman Jan

Department of Information Technology, Alburaimi University College, Pakistan

Qurat Ul Ain

Department of Computer Science, School of Computer Science and Creative Technologies, University of the West of England, Bristal, UK

Pradeep Kumar Singh

pradeep.cse@cujammu.ac.in

Department of Computer Science and Engineering, Central University of Jammu, Jammu, India
DOI: https://doi.org/10.2478/ijssis-2024-0040 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Jun 12, 2024
Published on: Dec 17, 2024
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
DDOS,
Hybrid Deep Learning,
CNN,
Visions Transformer
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Jahangir Shaikh, Toqeer Ali Syed, Syed Aziz Shah, Salman Jan, Qurat Ul Ain, Pradeep Kumar Singh, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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