mmamun1 / authpy

Python scripts to analyze an authentication dataset.

authpy

Python scripts to analyze an authentication dataset.

The authentication dataset from LANL (http://csr.lanl.gov/data/auth/) provides a valuable benchmark dataset for researchers in cybersecurity and/or graphs/networks.

We recommend using the Anaconda Python 3 distribution.

Getting Started

We begin by generating two files from the original dataset:

• time_secs_binary_f32.dat - a binary file containing just the time (secs) data (32-bit values)
• auth_graph_adjlist.dat - an ASCII file containing the global graph (as an adjacency list)

The script create_time_graph_files.py will generate both of them. However, it took about 8 hours on a laptop. So, the (compressed) global graph file is in the /data directory. The other file (times) can be generated using create_time_file.py (which takes just a few minutes).

Sample scripts

$ ipython --matplotlib

Python 3.4.2 |Anaconda 2.1.0 
...
Using matplotlib backend: MacOSX

In [1]: %run create_time_file
...

In [2]: %run histo_time

Interactive matplotlib window with pan, zoom, rubberband buttons

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In [3]: %run readG_draw

After some time, the full graph will be plotted (below, for what it's worth). You can then interactively pan and zoom in on regions of interest.

Global, static authN graph

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In [4]: %run readG_hub_subgraph

A hub as a subgraph

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