Looking to learn how to apply fuzzy linear Bayesian regression entropy clustering to your security analyst toolbox? Then this talk is not for you. The goal of this presentation is to demystify and de-bullshit the world of data science for us mere security mortals. I will explain key concepts behind buzzwords such as machine learning, k-means, Bayesian Probability, Lambda Architecture and how they apply to real world security use cases. The presentation will cover how analysts can get started using data science concepts without a PhD and using data they are already collecting in their environment to gain insight into previously unseen threats.
Ken is a security researcher with 14 years experience building and breaking things through the use/misuse of technology. His technology exploits and endeavors have been featured in Forbes, Good Morning America, Dateline, New York Times, The Economist and has won awards from MIT, CTIA, Oregon Technology Awards, SXSW, Entrepreneur and named in Portland Business Journal's 2013 "40 Under 40". He has worked with law enforcement and journalists utilizing various technologies to unveil organized crime rings, recover stolen cars, even a car jacking amongst other crimes.