IDS mailing list archives
Re: question about anomalies detection
From: Raj Malhotra <ral.mal () gmail com>
Date: Fri, 3 Sep 2004 11:43:24 +0530
Hi
1. To train the anomalies detection system, we must train the application with the normal profile. My question is how we get the normal profile, are they built by ourself or we try to get from our network dump data to be set as normal profile or we use the prebuild data on the net(like the data on the Lincoln Lab Data?)
You can do all the three. But i would like to do it as follows: 1) assume that traffic on my LAN is clean. 2) set-up a machine running tcpdump with "-w" option to keep logging what ever goes on the LAN. 3) use a linux box and run nmap with os finger printing option on some target machines on the same LAN. 4) the tcpdump will have a mixture of normal traffic and scans for OS finger printing look for features that are unique to OS fingerprinting (read how nmap works) and try to use k-nearest neighbour for classification.
2. Is there any paper about SPADE(Snort Plugin), I've googling for sometimes but never found one.
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Current thread:
- question about anomalies detection faisal99 (Sep 01)
- Re: question about anomalies detection Srinivasa Rao Addepalli (Sep 03)
- Re: question about anomalies detection Raj Malhotra (Sep 08)
- RE: question about anomalies detection Rob Shein (Sep 17)
- Re: question about anomalies detection Jose Maria Lopez (Sep 10)
- <Possible follow-ups>
- Re: question about anomalies detection Omar Herrera (Sep 03)
- Re: question about anomalies detection Christian Kreibich (Sep 07)