๐จ๐ญLarge-Scale Inference for Intelligence Analysis
Ero Carrera, Ph.D., Google
Presented at the 6th Annual BayesiaLab Conference in Chicago, November 1-2, 2018.
Abstract
The large amounts of data related to threats in the cyber environment and the theoretical developments in probabilistic reasoning in the last few decades have enabled better ways to reason about threat intelligence. In this talk, I will give an overview of the historical developments that underlie the foundation of our work using Bayesian Networks and probabilistic reasoning to tackle some of the problems faced in computer security, together with some examples of areas where they are being applied with practical and interpretable results.
Presentation Video
Access to this presentation video is restricted. Please contact the presenter, Mr. Ero Carrera, at ero.carrera@gmail.com to obtain access to this video.
About the Presenter
Ero Carrera is currently a Senior Software Engineer for the Threat Analyst Group at Google. Previously, the author worked at F-Secure and Zynamics GmbH (acquired by Google), spanning a career of nearly 20 years with a focus on reverse engineering and cybersecurity work.
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