Re: Content Inspection - Statistical methods

Federico Maggi <[email protected]> Tue, 11 Aug 2009 19:59:16 +0200
Newsgroups gmane.comp.security.ids
Message-ID <[email protected]>
On 08/ago/2009, at 19.45, Glenn Wilkinson <[email protected]>  
wrote:

> My question is, does anyone have any bright ideas of some useful,
> simple content analysis attributes? As it's a statistical/ML approach
> I'm trying to come up with as generic as possible ideas. So far I'm
> calculating things like session data entropy, most frequent character,
> counts of certain characters.

The IDS literature is over-filled of techniques (both deterministic  
and stochastic, or ML-based) of any sort to model "good" traffic that  
may inspire your project.

I don't have the exact references with me but a quick Google Scholar  
for terms like "tcp" "anomaly" "payload" narrowed between 2003 and  
2006 (when anomaly-based NIDS were a hot topic) will spot out the main  
contributions.

I feel there's even a little room for improvements to the existing  
approaches.

Cheers,

-- Fede 

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