2023
DOI: 10.31185/wjps.145
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Phishing Website Detection Using Machine Learning: A Review

Marwa Al saedi,
Nahla Abbas Flayh

Abstract: Phishing, a form of cyber attack in which perpetrators employ fraudulent websites or emails to Deceive individuals into divulging sensitive information such as passwords or financial data, can be mitigated through various machine-learning algorithms for website detection. These algorithms, including decision trees, support vector machines, and Random Forest, analyze multiple website features, such as URL structure, website content, and the presence of specific keywords or patterns, to ascertain the likel… Show more

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