Malware Data Science - by Joshua Saxe & Hillary Sanders (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><b><i>Malware Data Science</i> explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.</b> <p/>Security has become a big data problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. <p/>In <i>Malware Data Science</i>, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. <p/>You'll learn how to: <br>- Analyze malware using static analysis<br>- Observe malware behavior using dynamic analysis<br>- Identify adversary groups through shared code analysis<br>- Catch 0-day vulnerabilities by building your own machine learning detector<br>- Measure malware detector accuracy<br>- Identify malware campaigns, trends, and relationships through data visualization <p/>Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, <i>Malware Data Science</i> will help you stay ahead of the curve.<p/><br></br><p><b> Review Quotes </b></p></br></br><br>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, <i>Malware Data Science</i> is a superb reference. <br><b>--Ben Rothke, <i>RSA Conference</i><br></b> <p/>If you are new to data science or machine learning, this book provides an excellent introduction to these topics.<br><b> --DMFR Security</b><br><p/><br></br><p><b> About the Author </b></p></br></br><b>Joshua Saxe</b> 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.<br/><br/><b>Hillary Sanders</b> 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.
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