HH-NIDS: Heterogeneous Hardware-Based Network Intrusion Detection Framework for IoT Security
This study proposes a heterogeneous hardware-based framework for network intrusion detection using lightweight artificial neural network models. With the increase in the volume of exchanged data, IoT networks’ security has become a crucial issue. Anomaly-based intrusion detection systems (IDS) using...
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| Principais autores: | , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2022-12-01
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| Serier: | Future Internet |
| Fag: | |
| Online adgang: | https://www.mdpi.com/1999-5903/15/1/9 |
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