Log in to save to my catalogue

A Novel Study: GAN-Based Minority Class Balancing and Machine-Learning-Based Network Intruder Detect...

A Novel Study: GAN-Based Minority Class Balancing and Machine-Learning-Based Network Intruder Detect...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_64b383952b1f4c0aaed7e7324bd8f2de

A Novel Study: GAN-Based Minority Class Balancing and Machine-Learning-Based Network Intruder Detection Using Chi-Square Feature Selection

About this item

Full title

A Novel Study: GAN-Based Minority Class Balancing and Machine-Learning-Based Network Intruder Detection Using Chi-Square Feature Selection

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-11, Vol.12 (22), p.11662

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The network security problem becomes a routine problem for networks and cyber security specialists. The increased data on every minute not only creates big data problems, but also it expands the network size on the cloud and other computing technologies. Due to the big size and data, the network becomes more vulnerable to cyber-attacks. However, th...

Alternative Titles

Full title

A Novel Study: GAN-Based Minority Class Balancing and Machine-Learning-Based Network Intruder Detection Using Chi-Square Feature Selection

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_64b383952b1f4c0aaed7e7324bd8f2de

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_64b383952b1f4c0aaed7e7324bd8f2de

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app122211662

How to access this item