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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...
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| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6539759/ https://ncbi.nlm.nih.gov/pubmed/31035611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19091977 |
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