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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411977/ https://www.ncbi.nlm.nih.gov/pubmed/32679715 http://dx.doi.org/10.3390/s20143934 |