An Assessment of Features Related to Phishing Websites using an Automated Technique
Abstract
Corporations
that offer online trading can achieve a competitive edge by serving
worldwide clients. Nevertheless, online trading faces many obstacles
such as the unsecured money orders. Phishing is considered a form of
internet crime that is defined as the art of mimicking a website of an
honest enterprise aiming to acquire confidential information such as
usernames, passwords and social security number. There are some
characteristics that distinguish phishing websites from legitimate ones
such as long URL, IP address in URL, adding prefix and suffix to domain
and request URL, etc. In this paper, we explore important features that
are automatically extracted from websites using a new tool instead of
relying on an experienced human in the extraction process and then judge
on the features importance in deciding website legitimacy. Our research
aims to develop a group of features that have been shown to be sound
and effective in predicting phishing websites and to extract those
features according to new scientific precise rules.
You can download the full article from the following link:
No comments:
Post a Comment