Snort mailing list archives
Anomaly-detection dynamic preprocessor
From: Андрей Меньков <nothingelsematters7 () gmail com>
Date: Sat, 23 Feb 2013 00:44:32 +0300
Hello all. I'm on the latest year of studying in my University and write my dyploma. I choosen NIDS as theme and so now I try to implement dynamic preprocessor for Snort which will be based on this dataset http://www.iscx.ca/dataset. There are files in pcap format + excel files with labels for these packet flows First of all, I need to learn somehow my preprocessor. It will be done by processing and analyzing these pcap files and maybe using labels attached to them (but not necessary). I have some questions. It would be great if someone would help me and maybe give some good ideas :-) 1. I can give these pcap files as input to Snort - so I obtain all the power of snort decoding network data. With this I can write preprocessor for learning, that will obtain traffic from files and move analyzed data somewhere. But there is a problem. It's no smart to detect anomalies using only information about only single packet. It would be convenient to for example reassemble them (e.g. in connection for TCP packets) for better analyzing. And maybe there are another "tricks". So the question is actually smth like "Can I use for example Stream5 preprocessor for learn my preprocessor?" It reassemles packets in connections 2. What about existing implementations of such dynamic preprocessors? 3. Maybe It would be better to implement it not as dynamic preprocessor, but dynamic engine? Thanks in advance :-)
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Current thread:
- Anomaly-detection dynamic preprocessor Андрей Меньков (Feb 22)
- Re: Anomaly-detection dynamic preprocessor Андрей Меньков (Feb 25)
- Re: Anomaly-detection dynamic preprocessor Stephen Reese (Feb 25)
- Re: Anomaly-detection dynamic preprocessor Андрей Меньков (Feb 25)