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ShmooCon 2014: Practical Applications of Data Science in Detection

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Published on Apr 23, 2014

For more information visit: http://bit.ly/shmooc14
To download the video visit: http://bit.ly/shmooc14_down
Playlist Shmoocon 2014: http://bit.ly/shmooc14_pl

Speakers: Mike Sconzo | Brian Wylie
It seems recently offensive tactics, exploits and vulnerabilities are getting all the Info Sec sexy-points. We're going to try and swing this back towards detection as we apply some new-fangled math and techniques to solve some existing problems and tackling new ones. We'll take Data Science off its pedestal and show how, with problem and data understanding you can apply different techniques to make analysis more exciting and effective.

We'll use several open source tools and libraries to perform the data exploration and analysis, including iPython and pandas as well as a data hacking library we've already released. After discovering some useful patterns we'll show how we were able to implement the results so that they can be used for actual network analysis (with some real-world results). Some of the use cases used to demonstrate the concepts will be passive browser fingerprinting and SQL injection detection.

Audience members are welcome and encouraged to play buzzword bingo.

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