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Big Data Benchmarking Suite for Cyber-Security Analytics

License: GNU General Public License v3.0

Shell 2.55% Scala 84.38% Java 13.06%
spark big-data benchmark property-graph graphx neo4j neo4j-plugin

csb's People

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csb's Issues

Add 'ts' timestamp to EdgeData

It could be implemented as a Long type (currently, it is commented out as a java.util.Date type but this type is not convenient to handle for our scope).

The following components should be changed accordingly:

  • The EdgeData case class, its companion object and all methods should be changed to support the new field
  • The DataParser::logToGraph() method should be changed to parse the value from the logfile
  • The DataDistributions class should be changed to compute the timestamp probability distribution and to expose a getTsSample() method; the probability distribution should be an unconditional probability distribution
  • The GraphSynth::genProperties() method should be changed to support the new field

Remove the augmented log logic

Since we don't use the Snort labels, all the augmented log logic could be removed.

DataParser should be changed to handle the original Bro log file.

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