Re: question about anomalies detection

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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