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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Veach, Alexander M.
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Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Phishing Website Detection Using Several Machine Learning Algorithms: A Review Paper Veach, Alexander M.; Abualkibash, Munther
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 2 (2022): International Journal of Informatics, Information System and Computer Engineeri
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v3i2.8805

Abstract

Phishing is one of the major web social engineering attacks. This has led to demand for a better way to predict and stop them in a commercial environment. This paper seeks to understand the research done in the field and analyse the next steps forward. This is done by focusing on what goes into the selection of proper features, from manual selection to the use of Genetic Algorithms such as ADABoost and MultiBoost. Then a look into the classifiers in use, Neural Networks and Ensemble algorithms which were prominent alongside some novel approaches. This information is then processed into a framework for cloud-based and client-based phishing website detection, alongside suggestions for possible future research and experiments that could help progress the field.
Co-Authors Abualkibash, Munther