Efficient Detection of Phishing Websites Using Multilayer Perceptron
Ammar 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%.
Topics & Concepts
CredentialPhishingComputer scienceThe InternetMultilayer perceptronArtificial intelligenceArtificial neural networkPattern recognition (psychology)Machine learningData miningComputer securityWorld Wide WebSpam and Phishing DetectionNetwork Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting