Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparati...
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study
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Publisher
Hershey: IGI Global
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Language
English
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Publisher
Hershey: IGI Global
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Contents
The phishing attack is one of the main cybersecurity threats in web phishing and spear phishing. Phishing websites continue to be a problem. One of the main contributions to our study was working and extracting the URL & Domain Identity feature, Abnormal Features, HTML and JavaScript Features, and Domain Features as semantic features to detect phis...
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Full title
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study
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TN_cdi_gale_infotracacademiconefile_A759324887
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracacademiconefile_A759324887
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ISSN
1552-6283
E-ISSN
1552-6291
DOI
10.4018/IJSWIS.297032
