Using Metadata in Detection Spam Email with Pornography Content

Abstract

Spam or junk email is a disturbance in email service. They usually have contents that cause inconvenience to users such as electronic news, advertisements, and other things. One of the most troubling contents of spam email is pornography. In this work, we focus on developing a general framework of spam detection which related to the pornographic content. We utilize metadata which has been ignored in detecting spam. The principle of information retrieval is implemented by tracing the URLs which are listed in the email and then obtain the metadata keywords from the page which those URLs pointed. Next, after the similarity calculation and the spam has been detected then the notification is released to dump the email automatically into a spam folder.