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Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation
The ever-increasing use of internet has opened a new avenue for cybercriminals, alarming the online businesses and organization to stay ahead of evolving thread landscape. To this end, intrusion detection system (IDS) is deemed as a promising defensive mechanism to ensure network security. Recently,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924711/ https://www.ncbi.nlm.nih.gov/pubmed/33816977 http://dx.doi.org/10.7717/peerj-cs.327 |