koşan, muhammed ali gazi üniversitesi - bilgisayar bilimleri anabilim dalı, Ankara, Türkiye , yildiz, oktay gazi üniversitesi - bilgisayar mühendisliği bölümü, Ankara, Turkey , karacan, hacer gazi üniversitesi - bilgisayar mühendisliği bölümü, Ankara, Turkey

Comparative analysis of machine learning algorithms in detection of phishing websites

41056

The increasing number of malicious web sites and attacks, along with the increase in the usage rate of web applications, cause severe damage to the end user. One of these attacks aimed at stealing personal and sensitive information is the Phishing Attack. In the published security reports, it is stated that in recent years there has been millions of web pages that have made new phishing scams. In such a critical situation, the identification of these web pages is of great importance. In this study, a comparative analysis was made on a mentioned dataset using machine learning classification algorithms in the literature. The results of the analysis show that the classification algorithms used have different parameters about which conditions should be preferred in the studies on Phishing Fraud.

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Phishing attacks , Machine learning , Classification algorithms , Assessment measures

Pamukkale University Journal Of Engineering Sciences

282