Efficient Detection of Phishing Websites Using Multilayer Perceptron

• Main Authors: Ammar Jamil Odeh, Ismail Keshta, Eman Abdelfattah
• Format: Article
• Language: English
• Published: International Association of Online Engineering (IAOE) 2020-07-01
• Series: International Journal of Interactive Mobile Technologies
• Subjects: multilayer perceptron (mlp), activation function, semantic attack, phishing
• Online Access: https://online-journals.org/index.php/i-jim/article/view/13903
• ISSN: 1865-7923

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%.