Lexical URL analysis for discriminating phishing and legitimate websites
Faculty of Computing, Health and Science
School of Computer and Security Science / Security Research Centre (secAU)
A study that aims to evaluate the practical e ectiveness of website classi cation by lexically analyzing URL tokens in addition to a novel tokenization mechanism to increase prediction accuracy. The study analyzes over 70,000 legit- imate and phishing URLs collected over 6 months period from PhishTank1, Khalifa University HTTP logs and volun- teers using an experimental HTTP proxy server. A statisti- cal classi cation model is then constructed and evaluated to measure the practical e ectiveness of the lexical URL anal- ysis presented in this paper.
This document is currently not available here.