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Improved Hunt Seeding with Specfic Anomaly Scoring

January 2019 Presentation
Brenden Bishop (Columbus Collaboratory)

In this presentation, the attendees were presented with a flexible, open source tool for non-parametrically modeling multivariate densities of network logs.

Publisher:

Columbus Collaboratory

Abstract

In this presentation, Brenden Bishop presented attendees with a flexible, open source tool for non-parametrically modeling multivariate densities of network logs. Once constructed, such models can be utilized to score the anomalousness of log records and facilitate directed hunting. More subtly, attendees gained insight into the potential benefits available through iteratively collaborating with statistical engineers/data scientists, such as the construction of highly customizable models for specific phenomena on specific networks.