An Optimized Stacking Ensemble Model for Phishing Websites Detection
نویسندگان
چکیده
Security attacks on legitimate websites to steal users’ information, known as phishing attacks, have been increasing. This kind of attack does not just affect individuals’ or organisations’ websites. Although several detection methods for proposed using machine learning, deep and other approaches, their accuracy still needs be enhanced. paper proposes an optimized stacking ensemble method website detection. The optimisation was carried out a genetic algorithm (GA) tune the parameters learning methods, including random forests, AdaBoost, XGBoost, Bagging, GradientBoost, LightGBM. classifiers were then ranked, best three models chosen base method. experiments conducted datasets that consisted both websites—the Phishing Websites Data Set from UCI (Dataset 1); Dataset Machine Learning Mendeley 2, Datasets Detection 3). experimental results showed improvement method, where reached 97.16%, 98.58%, 97.39% 1, 3, respectively.
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ژورنال
عنوان ژورنال: Electronics
سال: 2021
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics10111285