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User and Entity Behaviour Analytics

Scripts that apply machine learning techniques to Linux log files in an attempt to discern what is going on.

Tools

CLI style comparisons

bashhistory.py uses a Variational Auto Encoder neural net using Keras to try to spot the differences in style between .bash_history files. An explanation can be found here.

De-noising /var/logs/syslog

syslog.py uses Fourier transforms to remove the most regular messages in a syslog file. Note that a worrying message that coincides with a regular signal will not be highlighted.

Caveats

This code is work in progress. Feeback welcome.

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Trying to spot signals in Linux logs.

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