Efficient Detection of Phishing Websites Using Multilayer Perceptron
Dublin Core
Title
Efficient Detection of Phishing Websites Using Multilayer Perceptron
Subject
Multilayer Perceptron (MLP)
Activation function
Semantic attack
Phishing
Description
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%.
Creator
Odeh, Ammar Jamil
Keshta, Ismail
Abdelfattah, Eman
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 11 (2020); pp. 22-31
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2020-07-10
Rights
Copyright (c) 2020 Ammar Jamil Odeh, Ismail Keshta, Eman Abdelfattah
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Ammar Odeh Jamil, Ismail Keshta and Eman Abdelfattah, Efficient Detection of Phishing Websites Using Multilayer Perceptron, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed September 25, 2024, https://igi.indrastra.com/items/show/1696