Malware Data Science: Attack Detection and Attribution - Softcover

Joshua Saxe; Hillary Sanders

Softcover

ISBN 10: 1593278594 ISBN 13: 9781593278595

Publisher: No Starch Press, 2018

Synopsis

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. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualisation, and shows you how to apply these methods to malware detection and analysis.

About this title

About the Author

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.

Edition details

• Publisher: No Starch Press
• Publication date: 2018
• Language: English
• ISBN 10: 1593278594
• ISBN 13: 9781593278595
• Binding: Paperback
• Number of pages: 272