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Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices, applications, and communication networks are becoming increasingly connected and integrated. When attacks on IoT networks go undetected for longer periods, it affects availability of critical systems for end us...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539759/ https://www.ncbi.nlm.nih.gov/pubmed/31035611 http://dx.doi.org/10.3390/s19091977 |