Network Security White Papers
Image Spam Filtering by Detection of Adversarial Obfuscated Text
Overview In recent years anti-spam filters have become necessary tools for Internet service providers to face up to the continuously growing spam phenomenon. Spam filtering is clearly a pattern recognition task in adversarial environment, as spammers are adversaries who continuously change the tricks used for evading classifiers (i.e., anti-spam filters). Many spammers' tricks are based on techniques that they can call of "Content obfuscation". One of the last tricks used by spammers, named image-based spam, consists in embedding the spam message into attached images to circumvent content-based filtering modules. This paper proposed an approach based on OCR tools and text categorization techniques which showed to be effective on the first generation of image spam, which exhibited a low degree of obfuscation.
| Publisher | Universita degli Studi di Cagliari | File Format | |
|---|---|---|---|
| Date Published | October 2007 | ||
| Format | White Papers | ||
| Topics | |||
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