SpamTerminator: A Personal Anti-spam Add-In for Outlook

摘要

Spam filtering has witnessed a booming interest in the recent years, due to the increased abuse of email. This paper presents SpamTerminator, a personal anti-spam filtering add-in of Outlook. Outstanding characteristics of SpamTerminator are as follows. First, it provides eleven filters including rule-based, white lists, black lists, four single filters, and four ensemble filters. As a result, SpamTerminator can automatically work for users in different stages even if they do not train machine learning-based filters. Secondly, by using our proposed method named TPL (Two-Phases Learning) to combine multiple disparate classifiers, ensemble filters can achieve excellent discrimination between spam and legitimate mail.