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Image spam — ASCII to the rescue!

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3 Author(s)
Nielson, J. ; Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB ; Aycock, J. ; de Castro, D.M.N.

We take an unorthodox approach to image spam detection, by applying existing software and decades-old technology: ASCII art. Our technique is straightforward and gets good levels of detection over a corpus with 1159 ham and 1492 spam images, with a tolerable amount of misclassifications. Furthermore, we only look at the images themselves, meaning that this method can be trivially enhanced by combining it with existing anti-spam techniques.

Published in:

Malicious and Unwanted Software, 2008. MALWARE 2008. 3rd International Conference on

Date of Conference:

7-8 Oct. 2008