文章基本信息

标题：EFFICIENT PREDICTION OF PHISHING WEBSITES USING MULTILAYER PERCEPTRON (MLP)
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作者：AMMAR ODEH ; ABDALRAOUF ALARBI ; ISMAIL KESHTA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：16
页码：3353-3363
出版社：Journal of Theoretical and Applied
摘要：Maximizing user protection from Phishing website is a primary objective in the design of these networks. Intelligent phishing detection management models can assist designers to achieve this objective. Our proposed model aims to reduce the computational time and increase the security against the phishing websites by applying the intelligent detection model. In this paper, we employed Multilayer Perceptron (MLP) to achieve the highest accuracy and optimal training ratio to maximize internet security. The simulation results show the selection of the most significant features minimize the computational time. The optimal training percentage is 70% as it minimizes the time complexity and it increases the model accuracy.
关键词：MLP;Activation function;semantic attack;Phishing