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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,...

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Detalles Bibliográficos
Autores principales: Vaiyapuri, Thavavel, Binbusayyis, Adel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
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