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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to enhance the security of in-vehicular network. The parameters building the DNN structure are trained with probability-based feature vectors that are extracted from the in-vehicular network packets. For a given p...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896428/ https://www.ncbi.nlm.nih.gov/pubmed/27271802 http://dx.doi.org/10.1371/journal.pone.0155781 |