ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
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Paper Title
A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks
Authors
Jayant Kumar Kachhwaha , Dr. Dhirendra Kumar Tripathi
Keywords
Vehicle Networks, CAN Bus Security, Intrusion Detection System, Hybrid Machine Learning, Automotive Cybersecurity, Embedded Systems
Abstract
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How To Cite
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IJCRT — journal style
"A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 2, page no.d306-d315, February 2026, Available :https://ijcrt.org/papers/IJCRT2602381.pdf
APA — 7th edition
Kachhwaha, J. K., & Tripathi, D. K. (2026). A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks. International Journal of Creative Research Thoughts, 14(2), d306-d315. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381
MLA — 9th edition
Kachhwaha, Jayant Kumar, and Dhirendra Kumar Tripathi. "A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks." International Journal of Creative Research Thoughts, vol. 14, no. 2, 2026, pp. d306-d315, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381.
Chicago — 17th, bibliography
Kachhwaha, Jayant Kumar, and Dhirendra Kumar Tripathi. "A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks." International Journal of Creative Research Thoughts 14, no. 2 (2026): d306-d315. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381.
Harvard — author–date
Kachhwaha, J.K. and Tripathi, D.K. (2026) 'A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks', International Journal of Creative Research Thoughts, 14(2), pp. d306-d315. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381
IEEE — numbered reference
J. K. Kachhwaha and D. K. Tripathi, "A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks," IJCRT, vol. 14, no. 2, pp. d306-d315, Feb. 2026.
Vancouver — biomedical
Kachhwaha JK, Tripathi DK. A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks. IJCRT. 2026 Feb;14(2):d306-d315.
AMA — 11th edition
Kachhwaha JK, Tripathi DK. A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks. IJCRT. 2026;14(2):d306-d315. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2602381,
author = {Jayant Kumar Kachhwaha and Dhirendra Kumar Tripathi},
title = {A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {2},
pages = {d306-d315},
year = {2026},
month = {February},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kachhwaha, Jayant Kumar
AU - Tripathi, Dhirendra Kumar
TI - A Real-Time Hybrid Machine Learning Intrusion Detection System for CAN-Based In-Vehicle Networks
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 2
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381
SP - d306-d315
ER -
Issue
Volume 14 Issue 2,
February-2026
Pages : d306-d315
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 14, Issue 2, February 2026
- Pages
- d306-d315
- Published
- February 2026
- Registration ID
- IJCRT_301542
- Published Paper ID
- IJCRT2602381
- Research Area
- Science All
- Author Type
- Indian Author
- Location
- Mandla, Madhya Pradesh, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 177
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2602381
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2602381.pdf
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International Journal of Creative Research Thoughts
Published by IJCRT Publication
2320-2882
ISSN
9.17
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2013
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No external funding was received for this study.
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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