Penetrating Bayesian Spam Filters

by Gnther Bayler, Gnther Bayler

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Today's attacks against Bayesian spam filters attempt to keep the content of spam emails visible to humans, but obscured to filters, or they attempt to fool the filters with additional good words appended to the spam. Attacks of this kind have characteristics that are detectable by spam filters, but there is another conceivable approach: one could substitute suspicious wor...more

Paperback, 84 pages

Published by VDM Verlag

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