Network Security White Papers
Improved Spam Filtering by Extraction of Information From Text Embedded Image e-Mail
Overview 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.
| Publisher | Association for Computing Machinery | File Format | |
|---|---|---|---|
| Date Published | March 2009 | ||
| Format | White Papers | ||
| Topics | |||
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