Applied Machine Learning for Data Exfil and Other Fun Topics

by Matt Wolff, Brian Wallace, Xuan Zhao
Sept. 14, 2017 1 comment www.blackhat.com belen_caty exfil

The goal of this presentation is to help researchers, analyst, and security enthusiast get their hands dirty applying machine learning to security problems. We will walk the entire pipeline from idea to functioning tool on several diverse security related problems, including offensive and defensive use cases for machine learning. Through these examples and demonstrations, we will be able to explain in a very concrete fashion every step involved to tie in machine learning to the specified problem. In addition, we will be releasing every tool built, along with source code and related datasets, to enable those in attendance to reproduce the research and examples on their own. Machine learning based tools that will be released with this talk include an advanced obfuscation tool for data exfiltration, a network mapper, and command and control panel identification module.

https://www.blackhat.com/us-16/briefings.html#applied-machine-learning-for-data-exfil-and-other-f...

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Steven Ulm 2 months, 3 weeks ago

Pretty good presentation! I like your idea and the way it is exposed. Thank you for sharing it with us!

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