All systems operational
Q1 2026

Enhanced IoT security: privacy-preserving federated learning model for accurate, real-time intrusion detection across devices

A. Puviarasu · Sudha V K
10.1016/j.asej.2025.103866 396 Views 10 Citations
10
Citations
396
Views
Abstract not available for this publication.
Cite this Article (APA)
A., P., Sudha, V. K. (2026). Enhanced IoT security: privacy-preserving federated learning model for accurate, real-time intrusion detection across devices. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2025.103866
Related Papers
Diversity of solitary wave structures in Kerr media: Analyzing the complex paraxial wave equation in…
U. Younas; J. Muhammad; H.F. Ismael; Tukur Abdulkadir Sulaiman; Homan Emadifar; · 2025
20
cites
394
Experimental and machine learning assessment of sustainable natural fiber reinforced concrete incorp…
Md. Hamidul Islam; Shuvo Dip Datta; Sanjoy Mondol; Md. Habibur Rahman Sobuz; Jaw · 2025
15
cites
387
Enhanced u-net for lesion segmentation in whole-slide images: Integrating attention mechanisms and m…
Fan Wu; Yuliang Sun; Peijuan Wang; Fengjun Hu; Ghulam Abbas; Amr Yousef; Ezzeddi · 2025
12
cites
397
11
cites
391
10
cites
388
Access
View Full Text via DOI
Published in
ISSN 2090-4479
Quartile Q1
AMS Score 100
Field Engineering & Technology
Publisher Elsevier
Country 🇪🇬 Egypt
View Journal Profile →
Authors
Publication Details
Year 2026
Language English
Added 01 Aug 2026