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 November 7, 2024, https://igi.indrastra.com/items/show/1696

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