Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning

Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning

Modern vehicles rely heavily on interconnected electronic control units (ECUs) through in-vehicle networks to perform crucial functions such as braking and monitoring engine RPMs. However, the increased number of ECUs and their connectivity to the in-vehicle network poses a security risk due to the...

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Bibliographic Details
Main Author: Ali Altalbe
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Controller area network
in-vehicle network
intrusion detection system
feature fusion
ensemble learning
car hacking
Online Access:https://ieeexplore.ieee.org/document/10374358/

Internet

https://ieeexplore.ieee.org/document/10374358/

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