All systems operational
Q2 2026 Vol. 19 · No. 2 · pp. 548-570

A dual-branch temporal-spatial deep learning architecture for efficient and accurate CAN bus intrusion detection

Guohong Zhang
10.1016/j.kjs.2026.100566 1,991 Views 0 Citations
0
Citations
1,991
Views
Vol. 19, No.2
Volume / Issue
548-570
Pages
Abstract not available for this publication.
Cite this Article (APA)
Guohong, Z. (2026). A dual-branch temporal-spatial deep learning architecture for efficient and accurate CAN bus intrusion detection. Kuwait Journal of Science, 19(2), 548-570. https://doi.org/10.1016/j.kjs.2026.100566
Related Papers
Assessment of Piper siriboa L. (Buyo) leaf extract as a green corrosion inhibitor for carbon steel i…
Ramiro Emerson C. Amon; Joshua Morland C. Quijano; Ma. Cynthia Fe C. Insoy; Prin · 2026
1
cites
1,873
Enhancing antibacterial, antifungal, and anticancer potential of zinc oxide nanorods using Trillium …
Swati Kumari; Ankush Chauhan; Priyanka Dalal; Deepika Sharma; Saurabh Kulshresth · 2026
1
cites
2,037
1
cites
786
Glacial lake outburst hazard assessment linked to moraine dam and permafrost stability in Sikkim Him…
Anil Kumar Misra; Zubair Ahmed; Kuldeep Dutta; Nikhil Raj Khatri; Bidyutjyoti Ba · 2026
1
cites
1,855
Access
View Full Text via DOI
Published in
ISSN 2307-4108
Quartile Q2
AMS Score 75
Field Natural Sciences
Publisher Kuwait University
Country 🇰🇼 Kuwait
View Journal Profile →
Authors
G
Guohong Zhang
Publication Details
Year 2026
Volume 19
Issue 2
Pages 548-570
Language English
Added 22 Jun 2026