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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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10374358/ |
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