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Hierarchical Anomaly Detection Model for In-Vehicle Networks Using Machine Learning Algorithms
The communication and connectivity functions of vehicles increase their vulnerability to hackers. The unintended failure and malfunction of in-vehicle systems caused by external factors threaten the security and safety of passengers. As the controller area network alone cannot protect vehicles from...
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| Publicat a: | Sensors (Basel) |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7411977/ https://ncbi.nlm.nih.gov/pubmed/32679715 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20143934 |
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