On Wed, Aug 26, 2015 at 11:35 AM, 'Miroslav S' via ossec-list
<[email protected]> wrote:
> Hello everyone.
>
> I have been tasked to test effectiveness of OSSEC HIDS (by effectiveness I
> mean detection rate it achieves as well as false positives rate) when a
> dataset of raw system call traces are used.
>
> The dataset itself is the AFDA-LD dataset which can be found here
> http://www.cybersecurity.unsw.adfa.edu.au/ADFA%20IDS%20Datasets/
>
> This dataset consists of 3 groups of raw system call traces generated with
> auditd UNIX program:
>
> 1. Normal training data
> 2. Normal validation data
> 3. Attack data.
>
> The method used to perform this task is irrelevant as long as I manage to
> use this particular dataset with OSSEC.
>
>
> So far I have the latest version of OSSEC installed on Ubuntu 14.04. I
> suppose that in order to perform my task, OSSEC should first be trained
> using the normal training data of the dataset and then tested for false
> positives using the normal validation data and for attack detection using
> the attack data. I am however quite new when it comes to OSSEC and IDS in
> general so I could very easily be wrong when it comes to that assumption.
>
>
> So my question is - Can OSSEC be trained and tested with raw system call
> traces in the first place, and if yes, how? If not, can the data from this
> particular dataset be used in any other way in order to test effectiveness
> of OSSEC?
>

I don't see anything in the data that would be all that useful to OSSEC.

>
> Thank you
>
> Miroslav
>
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