Improved Hunt Seeding with Specific Anomaly Scoring
• Presentation
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
Topic or Tag
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.
Part of a Collection
FloCon 2019 Presentations
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