Focus on IDS
Content Inspection - Statistical methods Aug 08 2009 05:45PM
Glenn Wilkinson (glenn wilkinson gmail com) (2 replies)
Hello IDS folks,

I'm currently doing a mini-project involving applying machine learning
techniques to the identification of hostile network traffic. My focus
is on TCP traffic, and I'm looking at header and content based
inspection. I'm wrapping up my feature extraction code now, whereby
I've imported all TCP sessions from the DARPA training sets into a DB
and have tagged the hostile sessions.

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.

I'm brand new to this field, but am really excited about this project.
Any feedback/advice would be greatly appreciated.

Thanks!
G

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[ reply ]
Re: Content Inspection - Statistical methods Aug 11 2009 07:03PM
Richard Bejtlich (taosecurity gmail com) (1 replies)
Re: Content Inspection - Statistical methods Aug 12 2009 08:26PM
Jamie Riden (jamie riden gmail com) (1 replies)
Re: Content Inspection - Statistical methods Aug 13 2009 06:27PM
Stefano Zanero (zanero elet polimi it)
Re: Content Inspection - Statistical methods Aug 11 2009 05:59PM
Federico Maggi (federico maggi gmail com)


 

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