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...

Full description

Bibliographic Details

Published in:	Computer communications Vol. 180; pp. 77 - 88
Main Authors:	Narayana Rao, K., Venkata Rao, K., P.V.G.D., Prasad Reddy
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2021
Subjects:	Deep Neural Network Feature selection Intrusion Detection Sparse autoencoder Intrusion Detection Feature selection Sparse autoencoder Deep Neural Network
ISSN:	0140-3664
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!