The inner working of a Bayesian spam filter

Friday, 31 March 2006, 12:06 PM EST

The Bayesian Theory, when applied to spam mail, is a very effective method of detecting which emails are legitimate or not. Bayesian filters calculate the probability of a message being spam according to its content. The more emails it sees, the more effective it gets. At first, the filter will not be perfect, but if you provide it with hundreds of emails to analyze, it should eventually achieve approximately 99.5% of efficiency.

At the Geeks are Sexy blog.

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Spotlight

Most popular Android apps open users to MITM attacks

Posted on 21 August 2014.  |  An analysis of the 1,000 most popular free Android apps from the Google Play store has revealed a depressing fact: most of them sport an SSL/TLS vulnerability that can be misused for executing MITM attacks, and occasionally additional ones, as well.


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