Phishing web site detection using diverse machine learning algorithms
Phishing web site detection using diverse machine learning algorithms
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Publisher
Oxford: Emerald Publishing Limited
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Language
English
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Publisher
Oxford: Emerald Publishing Limited
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Scope and Contents
Contents
Purpose
This paper aims to present a framework to detect phishing websites using stacking model. Phishing is a type of fraud to access users’ credentials. The attackers access users’ personal and sensitive information for monetary purposes. Phishing affects diverse fields, such as e-commerce, online business, banking and digital marketing, and i...
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Full title
Phishing web site detection using diverse machine learning algorithms
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Record Identifier
TN_cdi_nlnz_indexnz_999039338902837
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_nlnz_indexnz_999039338902837
Other Identifiers
ISSN
0264-0473,1758-616X
E-ISSN
1758-616X
DOI
10.1108/EL-05-2019-0118
