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Intrusion detection system combined enhanced random forest with SMOTE algorithm

Intrusion detection system combined enhanced random forest with SMOTE algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35b13457f41b4dfe96bd51945f1d0de9

Intrusion detection system combined enhanced random forest with SMOTE algorithm

About this item

Full title

Intrusion detection system combined enhanced random forest with SMOTE algorithm

Publisher

Cham: Springer International Publishing

Journal title

EURASIP journal on advances in signal processing, 2022-05, Vol.2022 (1), p.1-20, Article 39

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Network security is subject to malicious attacks from multiple sources, and intrusion detection systems play a key role in maintaining network security. During the training of intrusion detection models, the detection results generally have relatively large false detection rates due to the shortage of training data caused by data imbalance. To addr...

Alternative Titles

Full title

Intrusion detection system combined enhanced random forest with SMOTE algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_35b13457f41b4dfe96bd51945f1d0de9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35b13457f41b4dfe96bd51945f1d0de9

Other Identifiers

ISSN

1687-6180,1687-6172

E-ISSN

1687-6180

DOI

10.1186/s13634-022-00871-6

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