Using Feature Selection and Classification Scheme for Automating Phishing Email Detection

作者：Hamid Isredza Rahmi A; Abawajy Jemal; Kim Tai hoon^*

来源：Studies in Informatics and Control, 2013, 22(1): 61-70.

DOI：10.24846/v22i1y201307

• Internet Security
• Behavior-based
• Feature Selection
• Phishing

Email 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.

• 出版日期2013-3
• 单位迪肯大学