Analysis of an Image Spam in Email Based on Content Analysis

Researchers initially have addressed the problem of spam detection as a text classification or categorization problem. However, as spammers’ continue to develop new techniques and the type of email content becomes more disparate, text-based anti-spam approaches alone are not sufficiently enough in preventing spam. In an attempt to defeat the anti-spam development technologies, spammers have recently adopted the image spam trick to make the scrutiny of emails’ body text inefficient. The main idea behind this project is to design a spam detection system. The system will be enabled to analyze the content of emails, in particular the artificially generated image sent as attachment in an email. The system will analyze the image content and classify the embedded image as spam or legitimate hence classify the email accordingly.