Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
David Rodriguez

David Rodriguez
Senior Research Engineer, Cisco Systems

Website

David Rodriguez is a senior research engineer at Cisco Umbrella (formerly OpenDNS). He has coauthored multiple pending patents with Cisco in distributed machine learning applications centered around deep learning and behavioral analytics. He’s a frequent speaker about machine learning in cybersecurity at conferences including Flink Forward, Black Hat, Flocon, Virus Bulletin, and HitBSEC. David holds an MA in mathematics from San Francisco State University.

Sessions

11:50am–12:30pm Thursday, March 28, 2019
Masquerading malicious DNS traffic
Data Science, Machine Learning & AI
 Location: 2010
Secondary topics:  Security and Privacy, Temporal data and time-series analytics
David Rodriguez (Cisco Systems)
Average rating: ****.
(4.50, 2 ratings)
Malicious DNS traffic patterns are inconsistent and typically thwart anomaly detection. David Rodriguez explains how Cisco uses Apache Spark and Stripe’s Bayesian inference software, Rainier, to fit the underlying time series distribution for millions of domains and outlines techniques to identify artificial traffic volumes related to spam, malvertising, and botnets (masquerading traffic). Read more.