Using Features Selection and Classification Scheme 2013.pdf (3.92 MB)
Using feature selection and classification scheme for automating phishing email detection
journal contribution
posted on 2023-05-17, 22:44 authored by Hamid, IRA, Abawajy, J, Kim, T-HEmail has become the critical communication medium for most organizations. Unfortunately, email-born attacks in computer networks are causing considerable economic losses worldwide. Exiting phishing email blocking appliances have little effect in weeding out the vast majority of phishing emails. At the same time, online criminals are becoming more dangerous and sophisticated. Phishing emails are more active than ever before and putting the average computer user and organizations at risk of significant data, brand and financial loss. In this paper, we propose a hybrid feature selection approach based on combination of content-based and behaviour-based. The approach could mine the attacker behaviour based on email header. On a publicly available test corpus, our hybrid features selection is able to achieve 94% accuracy rate.
History
Publication title
Studies in Informatics and ControlVolume
22Pagination
61-70ISSN
1220-1766Department/School
School of Information and Communication TechnologyPublisher
National Institute for R&D in Informatics (ICI)Place of publication
Bucharest, RomaniaRights statement
Copyright 2013 © National Institute for Research & Development in InformaticsRepository Status
- Open