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CEAS
2007
Springer

Image Spam Filtering by Content Obscuring Detection

9 years 10 months ago
Image Spam Filtering by Content Obscuring Detection
We address the problem of filtering image spam, a rapidly spreading kind of spam in which the text message is embedded into attached images to defeat spam filtering techniques based on the analysis of e-mail’s body text. We propose an approach based on low-level image processing techniques to detect one of the main characterstics of most image spam, namely the use of content obscuring techniques to defeat OCR tools. A preliminary experimental evaluation of our approach is reported on a personal data set of spam images publicly available.
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CEAS
Authors Battista Biggio, Giorgio Fumera, Ignazio Pillai, Fabio Roli
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