Reverend is a python bayes classifier that you may find useful: http://divmod.org/trac/wiki/DivmodReverend
Regards, Jon Oberheide On Thu, 2008-01-31 at 17:17 +0200, Gleb Paharenko wrote: > Hi. > > Spamassasin uses bayasian for anomaly detection in mail. Perhaps you > can find there some useful things. > > 2008/1/31, Dinakara <[EMAIL PROTECTED]>: > > > > Hi there, > > > > I am working on Anomaly based Network IDS... > > Statistical based technique is simple but not quite effective in real > > scenario... > > I understand Bayesian classifier/Network is more effective in the > > context of anomaly detection, > > but i have very little idea about Bayesian approach for IDS... > > Can someone please help me out, i want to know how to go about it and > > if there are any open source > > anomaly based tool available (bayesian IDS) ... > > > > Thanks in advance.. > > > > > > -- > > View this message in context: > > http://www.nabble.com/Bayesian-IDS...help-tp15197689p15197689.html > > Sent from the IDS (Intrusion Detection System) mailing list archive at > > Nabble.com. > > > > > > ------------------------------------------------------------------------ > > Test Your IDS > > > > Is your IDS deployed correctly? > > Find out quickly and easily by testing it > > with real-world attacks from CORE IMPACT. > > Go to > > http://www.coresecurity.com/index.php5?module=Form&action=impact&campaign=intro_sfw > > to learn more. > > ------------------------------------------------------------------------ > > > > > > -- Jon Oberheide <[EMAIL PROTECTED]> GnuPG Key: 1024D/F47C17FE Fingerprint: B716 DA66 8173 6EDD 28F6 F184 5842 1C89 F47C 17FE
signature.asc
Description: This is a digitally signed message part
