Catching Bad Guys with Math: Real World Data Science Use Cases for Cyberattack Detection and …

ABSTRACT There is a lot of buzz about the potential of data science, machine learning and analytics in cyberattack and advanced persistent threat (APT) threat detection, but what are the techniques and tools in use and working in the real world? Properly implemented, data science can be a highly effective tool against APT, cyberattacks, and fortify an organization’s interior defense. Our distinguished speaker, Stephan Jou leads the technology and data science teams at Interset, a leading edge Ottawa company that has developed an award-winning solution, based on machine learning, to detect and prevent cyberattacks. He will describe the feature engineering, mathematical models, visualizations, development techniques and open source tools in real world implementations developed over the past two years, illustrated through four real-world customer examples. The information and techniques will…


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