An Effective and Secure Mechanism for Phishing Attacks Using a Machine Learning Approach
نویسندگان
چکیده
Phishing is one of the biggest crimes in world and involves theft user’s sensitive data. Usually, phishing websites target individuals’ websites, organizations, sites for cloud storage, government websites. Most users, while surfing internet, are unaware attacks. Many existing approaches have failed providing a useful way to issues facing e-mails Currently, hardware-based used face software Due rise these kinds problems, proposed work focused on three-stage series attack precisely detecting problems content-based manner as mechanism. There were three input values—uniform resource locators traffic web content based features non-attack website technique features. To implement mechanism, dataset collected from recent cases. It was found that real cases give higher accuracy both zero-day attacks detection. Three different classifiers determine classification phishing, resulting 95.18%, 85.45%, 78.89%, NN, SVM, RF, respectively. The results suggest machine learning approach best phishing.
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ژورنال
عنوان ژورنال: Processes
سال: 2022
ISSN: ['2227-9717']
DOI: https://doi.org/10.3390/pr10071356