Practical Cyborgism: Getting Started With Machine Learning for Incident Detection

Practical Cyborgism: Getting Started With Machine Learning for Incident Detection

[As presented at BSidesDC on 23 October 2016.]

Organizations today are collecting more information about what's going on in their environments than ever before, but manually sifting through all this data to find evil on your network is next to impossible. Reliable detection of security incidents remains elusive, and there is a distinct lack of open source innovation.

It doesn't have to be this way! In this presentation, we’ll walk through the creation of a simple Python script that can learn to find malicious activity in your HTTP proxy logs. At the end of it all, you'll not only gain a useful tool to help you identify things that your IDS and SIEM might have missed, but you’ll also have the knowledge necessary to adapt that code to other uses as well.

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David J. Bianco

October 23, 2016
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