Improved Spam Filtering by Extraction of Information From Text Embedded Image e-Mail

The increase of image spam, a kind of spam in which the text message is embedded into an attached image to defeat spam filtering techniques, is becoming an increasingly major problem.. For nearly a decade, content based filtering using text classification or machine learning has been a major trend of anti-spam filtering systems. A Key technique being used by spammers is to embed text into image(s) in spam email. They proposed two levels of ontology spam filters: a first level global ontology filter and a second level user-customized ontology filter. However, that previous system handles only text e-mail and the percentage of attached images is increasing sharply.