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 22, 2024, https://igi.indrastra.com/items/show/1485