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lanl-cyber

Let's use LANL Cyber-Security data to detect fishy workstation processes.

Data

Source data taken from A. D. Kent, “Comprehensive, Multi-Source Cybersecurity Events,” Los Alamos National Laboratory, http://dx.doi.org/10.17021/1179829, 2015. Data dictionary for enriched data can be found here. Enriched data generated using the Scala code found in this project.

Hardware and OS

  • Intel(R) Core(TM) i3-5010U CPU @ 2.10GHz with 16GB of RAM and 1TB of pure, spinning rust.
  • Fedora Core 23 GNU/Linux with a 4.3.5 kernel.

Reproducing the development environment

  1. Clone this repository locally with git clone git@github.com:woodrad/lanl-cyber.git.
  2. If you have a copy of LANL's Cyber-Security data already, copy or link the tarballs to data/.
  3. build.sh will check your environment, download data if you do not have it, resolve dependencies, and build the model.
  4. If you are missing pyenv, install pyenv.
  5. If you are missing javac, install Oracle or OpenJDK.
  6. If you are missing sbt, install sbt.
  7. build.sh will now download the data needed with ./src/main/python/download.py. This will take some time.
  8. After you have the data, build.sh will run the model.

About the model

Documentation for this model is in MODEL.md.

License

GPLv3 as in respects your GNU/Freedom. Can't tivoize this.

Dreamy gif of RMS