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Transfer Learning Auto-Encoder Neural Networks for Anomaly Detection of DDoS Generating IoT Devices
Machine Learning based anomaly detection ap- proaches have long training and validation cycles. With IoT devices rapidly proliferating, training anomaly models on a per device basis is impractical. This work explores the “transfer- ability” of a pre-trained autoencoder model across devices of simila...
Tallennettuna:
| Päätekijät: | , , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Hindawi-Wiley
2022-01-01
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| Sarja: | Security and Communication Networks |
| Linkit: | http://dx.doi.org/10.1155/2022/8221351 |
| Tagit: |
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