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A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_electronics9020219

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

About this item

Full title

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

Journal title

Electronics (Basel), 2020-02, Vol.9 (2), p.219

Language

English

Formats

More information

Scope and Contents

Contents

The enormous popularity of the internet across all spheres of human life has introduced various risks of malicious attacks in the network. The activities performed over the network could be effortlessly proliferated, which has led to the emergence of intrusion detection systems. The patterns of the attacks are also dynamic, which necessitates effic...

Alternative Titles

Full title

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_3390_electronics9020219

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_electronics9020219

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics9020219

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