Snort_AIPreproc/TODO

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======================
AVERAGE/HIGH PRIORITY:
======================
- XML::Simple dependancy
- Manual alert correlation from the web interface
2010-10-07 12:19:21 +02:00
- Bayesian network
- Modules for correlation coefficients
- Code profiling
- Comment all the code!!!
- Neural network for computing k
- Testing more scenarios, making more hyperalert models
=============
LOW PRIORITY:
=============
2010-09-11 12:45:30 +02:00
2010-08-14 14:30:41 +02:00
- Managing clusters for addresses, timestamps (and more?)
- Splitting the distinct subgraphs of the output graph
2010-09-23 21:57:20 +02:00
- libgc support
2010-08-14 14:30:41 +02:00
=====
DONE:
=====
+ PostgreSQL support
+ Regex comp cache
+ Managing hyperalert graph connection inside the alert structure itself
+ Keeping track of all the streams and alerts even after clustered
2010-09-18 16:42:11 +02:00
+ Dynamic cluster_min_size algorithm
2010-09-23 21:57:20 +02:00
+ Add alerts' history serialization to db.c as well
+ Bayesian learning among alerts in alert log
+ Split bayesian correlation out of correlation.c
+ Clustering alerts with time constraints
+ Save clusters and correlations to db
+ Uniformed error messages format
2010-10-07 12:19:21 +02:00
+ Full PostgreSQL support for output db
+ Web interface
+ Function names (private functions with _ or __ ?)
2010-10-12 03:12:11 +02:00
+ Saving packet flows as .pcap