Degree Type

Thesis

Date of Award

2009

Degree Name

Master of Science

Department

Electrical and Computer Engineering

First Advisor

Yong Guan

Abstract

Phishing is a means of obtaining confidential information through fraudulent web sites that appear to be legitimate. There are many phishing detection techniques available, but current practices leave much to be desired. A central problem is that web browsers rely on a black list of known phishing sites, but some phishing sites have a lifespan as short as a few hours. A faster recognition system is needed by the web browser to identify zero day phishing sites which are new phishing sites that have not yet been discovered.

This research improves upon techniques used by popular anti-phishing software and introduces a new method of detecting fraudulent web pages using cascading style sheets (CSS). Current phishing detection techniques are examined and a new detection method is implemented and evaluated against hundreds of known phishing sites.

Copyright Owner

Michael Blasi

Language

en

Date Available

2012-04-30

File Format

application/pdf

File Size

89 pages

Share

COinS