Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques
Mobile Phishing Websites Detection and Prevention Using Data Mining Techniques
复制标题
使用数据挖掘技术检测和预防移动钓鱼网站
DOI：
10.3991/ijim.v13i10.10797
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Mustafa Dhiaa Al
中科院分区：
文献类型：
--
作者：
Huda Yousif Kadhim;K. Al;Mustafa Dhiaa Al
摘要：如今智能手机的广泛使用使得它们很容易受到网络钓鱼的攻击。网络钓鱼是试图通过互联网窃取用户信息的过程，声称他们是受信任的实体，从而访问和窃取受害者的数据（用户名，密码和信用卡详细信息）。因此，对移动网络钓鱼检测系统的需求已成为迫切需要。这就是我们在本文中所要介绍的，我们介绍了一个检测Android手机上的网络钓鱼网站的系统。它可以预测并防止网络钓鱼网站欺骗用户，利用数据挖掘技术来预测网站是否为网络钓鱼，依赖于一组因素（基于URL的特征、基于HTML的特征和基于域名的特征）。结果表明，该系统对网络钓鱼网站的预测准确率达到97%。
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.