Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques

Dublin Core

Title

Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques

Subject

mobile Phishing attacks
Phishing
Data Mining
Web-based Phishing attack

Description

Abstract— The widespread use of smart phones nowadays makes them vulnerable to phishing. Phishing is the process of trying to steal user information over the Internet by claiming they are a trusted entity and thus access and steal the victim's data(user name, password and credit card details). Consequently, the need for mobile phishing detection system has become an urgent need. And this is what we are attempting to introduce in this paper, where we introduce a system to detect phishing websites on Android phones. That predicts and prevents phishing websites from deceiving users, utilizing data mining techniques to predict whether a website is phishing or not, relying on a set of factors (URL based features, HTML based features and Domain based features). The results shows system effectiveness in predicting phishing websites with 97% as prediction accuracy.

Creator

Kadhim, Huda Yousif
Al-saedi, Karim Hashim
Al-Hassani, Mustafa Dhiaa

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 10 (2019); pp. 205-213
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2019-09-25

Rights

Copyright (c) 2019 Huda Yousif Kadhim

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Non-refereed Article

Identifier

Citation

Huda Kadhim Yousif, Al-saedi, Karim Hashim and Al-Hassani, Mustafa Dhiaa, Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques, International Association of Online Engineering (IAOE), Vienna, Austria, 2019, accessed November 6, 2024, https://igi.indrastra.com/items/show/1485

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