Özet:

Phishing is software-based attacks on the stealing of personal information over the internet. In phishing attacks, it is generally aimed to capture private information such as personal identification information, user passwords, credit or debit card information. Website applications or electronic mail systems containing special software codes are generally preferred as the most suitable medium for this. In this kind of net applications, attractive visual or text based messages feed individuals and enable attacks. It is necessary to act in parallel with the technological developments in order to prevent such attacks on time in the internet environment where billions of people interact. Recently, artificial intelligence technologies have managed to make a name in the field of internet security. In this study, over 11 thousand websites were analyzed with machine learning methods and websites that made phishing attacks were determined. The dataset consists of 30 web parameters and is open access. With machine learning methods, 30 features were examined for each website; web sites that carry out the phishing attack and those that did not. As a result, the best test accuracy achievement was realized by Random Forest method at 96.53%.

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