Log in to save to my catalogue

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine...

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54c082e54a5e4559bb11fd053f18dd4b

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques

About this item

Full title

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques

Author / Creator

Publisher

United States: PeerJ. Ltd

Journal title

PeerJ. Computer science, 2023-02, Vol.9, p.e1234-e1234, Article e1234

Language

English

Formats

Publication information

Publisher

United States: PeerJ. Ltd

More information

Scope and Contents

Contents

With the rise of the Internet and social media, information has become available at our fingertips. However, on the dark side, these advancements have opened doors for fraudsters. Online recruitment fraud (ORF) is one of the problems created by these modern technologies, as hundreds of thousands of applicants are victimized every year globally. Fra...

Alternative Titles

Full title

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_54c082e54a5e4559bb11fd053f18dd4b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54c082e54a5e4559bb11fd053f18dd4b

Other Identifiers

ISSN

2376-5992

E-ISSN

2376-5992

DOI

10.7717/peerj-cs.1234

How to access this item