Malware Data Science
Attack, Detection, and Attribution
$106.62
- Paperback
272 pages
- Release Date
15 August 2018
Summary
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.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 def…
Book Details
| ISBN-13: | 9781593278595 |
|---|---|
| ISBN-10: | 1593278594 |
| Author: | Joshua Saxe, Hillary Sanders |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 272 |
| Release Date: | 15 August 2018 |
| Weight: | 622g |
| Dimensions: | 235mm x 178mm |
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What They're Saying
Critics Review
“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
About The Author
Joshua Saxe
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.
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