A hybrid Intrusion Detection System based on Sparse autoencoder and Deep Neural Network

A large number of attacks are launched daily in the era of the internet and with a large number of users. Nowadays, effective detection of numerous attacks using the Intrusion Detection System (IDS) is an emerging research technique. Machine learning methodologies show effective results in intrusion...

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Vydané v:	Computer communications Ročník 180; s. 77 - 88
Hlavní autori:	Narayana Rao, K., Venkata Rao, K., P.V.G.D., Prasad Reddy
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2021
Predmet:	Deep Neural Network Feature selection Intrusion Detection Sparse autoencoder Intrusion Detection Feature selection Sparse autoencoder Deep Neural Network
ISSN:	0140-3664
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