Efficient Detection of Phishing Websites Using Multilayer Perceptron

Ammar Jamil Odeh, Ismail Keshta, Eman Abdelfattah

Abstract


Phishing is a type of Internet fraud that aims to acquire the credential of users via scamming websites. In this paper, a novel approach is utilized that uses a Neural Network with a multilayer perceptron to detect the scam URL. The proposed system improves the accuracy of the scam detection system as it achieves a high accuracy percentage of 98.5%.

Keywords


Multilayer Perceptron (MLP), Activation function, Semantic attack, Phishing

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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