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Overview:

As anti-spam filters have improved in their capacity to process text based messages, spammers have learned to convey their advertisements using a number of different "Envelopes". These envelopes include documents, pdf files and graphical formats. Although it is relatively easy to construct antispam filters that read and process content embedded in some of these envelopes, image spam has challenged the analytical capacity of academic and industry researchers. This paper reviews different technologies employed to process image spam, and introduces a new approach to processing content embedded in complex and randomized pictures. High speed Image Part Recognition (IPR) improves on existing ad hoc rules and fingerprint systems because it allows for analysis of image spam content, and can be integrated with self learning Bayesian (statistical) filters.

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Format:PDFSize:485 KB
Date:Sep 2007
Pages:16

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