Scalable Temporal Analytics to Detect Automation and Coordination

Lauren Deason

This talk details novel analytic methods for processing time series data at scale using techniques drawn from digital signal processing and document matching. These methods can be applied to detect coordinated and automated cyber activity, to match patterns present in time series data, and to fuse together disparate datasets.