Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.
Joshua Saxe is Chief Data Scientist at major security vendor,
Sophos, where he leads a security data science research team. He's
also a principal inventor of Sophos' neural network-based malware
detector, which defends tens of millions of Sophos customers from
malware infections. Before joining Sophos, Joshua spent 5 years
leading DARPA funded security data research projects for the US
government.
Hillary Sanders leads the infrastructure data science team at
Sophos, which develops the frameworks used to build Sophos' deep
learning models. Before joining Sophos, Hillary created a recipe
web app and spent three years as a data scientist at Premise Data
Corporation.
"For those looking to become a security data scientist, or just
want to get a comprehensive understanding of how to use data
science to deal with malicious software, Malware Data
Science is a superb reference."
—Ben Rothke, RSA Conference
"If you are new to data science or machine learning, this book
provides an excellent introduction to these topics."
—DMFR Security
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