mirror of
https://github.com/BlackLight/Snort_AIPreproc.git
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39 lines
1.1 KiB
Text
39 lines
1.1 KiB
Text
======================
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AVERAGE/HIGH PRIORITY:
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======================
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- Neural network for alert correlation
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- Modules for correlation coefficients
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- Code profiling
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- Comment all the code!!!
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- Neural network for computing k
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- Testing more scenarios, making more hyperalert models
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=============
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LOW PRIORITY:
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=============
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- Managing clusters for addresses, timestamps (and more?)
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- Splitting the distinct subgraphs of the output graph
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=====
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DONE:
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=====
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+ PostgreSQL support
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+ Regex comp cache
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+ Managing hyperalert graph connection inside the alert structure itself
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+ Keeping track of all the streams and alerts even after clustered
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+ Dynamic cluster_min_size algorithm
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+ Add alerts' history serialization to db.c as well
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+ Bayesian learning among alerts in alert log
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+ Split bayesian correlation out of correlation.c
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+ Clustering alerts with time constraints
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+ Save clusters and correlations to db
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+ Uniformed error messages format
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+ Full PostgreSQL support for output db
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+ Web interface
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+ Function names (private functions with _ or __ ?)
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+ Saving packet flows as .pcap
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+ Manual alert correlation from the web interface
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