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ARTÍCULO
TITULO

Efficient Detection of Phishing Websites Using Multilayer Perceptron

Ammar Jamil Odeh    
Ismail Keshta    
Eman Abdelfattah    

Resumen

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%.

PÁGINAS
pp. pp. 22 - 31

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