Machine Learning Approaches for Phishing Website Detection Using URL and HTML Features

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17178540
Primary Topic
Advanced Photonic Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Approaches for Phishing Website Detection Using URL and HTML Features

Zenodo (CERN European Organization for Nuclear Research)
Advanced Photonic Communication Systems
article

Machine Learning Approaches for Phishing Website Detection Using URL and HTML Features

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Advanced Photonic Communication Systems
DOIOpen Access PDFOpenAlex
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Machine Learning Approaches for Phishing Website Detection Using URL and HTML Features · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS