Phishing Email Detection Technique by using Hybrid Features

Lew, May Form and Kang, Leng Chiew and San, Nah Sze and Wei, King Tiong (2015) Phishing Email Detection Technique by using Hybrid Features. In: 2015 9th International Conference on IT in Asia (CITA) : Transforming Big Data into Knowledge, 4-5 August 2015, Kuching, Sarawak Malaysia.

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Phishing emails is growing at an alarming rate in this few years. It has caused tremendous financial losses to internet users. Phishing techniques getting more advance everyday and this has created great challenge to the existing anti-phishing techniques. Hence, in this paper, we proposed to detect phishing emails through hybrids features. The hybrid features consist of content-based, URL-based, and behaviorbased features. Based on a set of 500 phishing emails and 500 legitimate emails, the proposed method achieved overall accuracy of 97.25% and error rate of 2.75%. This promising result verify the effectiveness of the proposed hybrid features in detecting phishing email.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Anti-phishing; emails; behavior-based; classification, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education,research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 08 Sep 2016 22:45
Last Modified: 14 Feb 2017 06:25

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