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Thursday, December 7 • 16:00 - 16:30
Augmented Intelligence to Scale Humans Fighting Botnets

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We propose and implement a novel method of discovering botnet activities by identifying new core domains (domains that are directly below a TLD) that appear in real-time DNS query traffic as suspicious, and discovering botnet C&C groups using a domain correlation machine learning model. This method discovers botnet C&C groups before security list vendors which it is benchmarked against.

Speakers
avatar for Amir Asiaee

Amir Asiaee

Senior Data Scientist, Nominum
Dr. Amir Asiaee has more than 10 years of academic and industry experience in machine learning and natural language processing related projects. He has applied data analytic techniques to optimize Nominum output feeds by validating and consolidating lists of malicious activities that... Read More →
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Hongliang Liu

Principal Data Scientist, Nominum
Dr. Hongliang Liu, Principal Data Scientist at Nominum, received his PhD degree in Physics in 2011. Dr. Liu has been working on defeating DDoS attacks known as Pseudo Random Subdomain (PRSD) attacks which rely on the worldwide DNS infrastructure and building machine intelligence for... Read More →
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Yuriy Yuzifovich

Head of Security Research and Data Science, Nominum
Yuriy Yuzifovich is Head of Security Research and Data Science for Nominum. Yuriy’s team builds patent-pending tools that analyze 100 billion DNS queries per day from hundreds of millions of internet subscribers in real time. With these tools, Nominum Data Science is able to discover... Read More →


Thursday December 7, 2017 16:00 - 16:30
Corum Allée du Saint-Esprit, 34000 Montpellier, France