Fooling intrusion detection systems using adversarially autoencoder
Due to the increasing cyber-attacks, various Intrusion Detection Systems (IDSs) have been proposed to identify network anomalies. Most existing machine learning-based IDSs learn patterns from the features extracted from network traffic flows, and the deep learning-based approaches can learn data dis...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
KeAi Communications Co., Ltd.
2021-08-01
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| coleção: | Digital Communications and Networks |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2352864820302868 |
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