Towards Developing a Tool to Detect Phishing URLs: A Machine Learning Approach

被引：14

作者：

Basnet, Ram B. ^{[1
]}

Doleck, Tenzin ^{[2
]}

机构：

[1] Colorado Mesa Univ, Grand Junction, CO 81501 USA

[2] McGill Univ, Montreal, PQ H3A 2T5, Canada

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION TECHNOLOGY CICT 2015 | 2015年

关键词：

machine learning; phishing; tools; phishing URLs;

D O I：

10.1109/CICT.2015.63

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Despite efforts to curb online fraud, there continues to be a significant proliferation of fraud in the online space. In the same vein, Phishing attacks are a significant and growing problem for users, and carrying out certain actions such as mouse hovering, clicking, etc., on malicious URLs may cause unwary users to unwittingly fall victim to identity theft and problems. In this paper, we propose a methodology that could be used towards developing an anti-phishingURL tool to thwart a phishing attack by either masking the potentially phishing URL or by alerting the user about the potential threat.

引用

页码：220 / 223

页数：4