Network Intrusion Detection Model Based on CNN and GRU
Network Intrusion Detection Model Based on CNN and GRU
About this item
Full title
Author / Creator
Cao, Bo , Li, Chenghai , Song, Yafei , Qin, Yueyi and Chen, Chen
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
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Scope and Contents
Contents
A network intrusion detection model that fuses a convolutional neural network and a gated recurrent unit is proposed to address the problems associated with the low accuracy of existing intrusion detection models for the multiple classification of intrusions and low accuracy of class imbalance data detection. In this model, a hybrid sampling algori...
Alternative Titles
Full title
Network Intrusion Detection Model Based on CNN and GRU
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_310e0902ff4c4bec802a56e9aa096ede
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_310e0902ff4c4bec802a56e9aa096ede
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12094184
