Malware Data Science: Attack, Detection, and Attribution

Author:   Joshua Saxe ,  Hillary Sanders
Publisher:   No Starch Press,US
ISBN:  

9781593278595


Pages:   272
Publication Date:   25 September 2018
Format:   Paperback
Availability:   In stock   Availability explained
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Malware Data Science: Attack, Detection, and Attribution


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Author:   Joshua Saxe ,  Hillary Sanders
Publisher:   No Starch Press,US
Imprint:   No Starch Press,US
Weight:   0.622kg
ISBN:  

9781593278595


ISBN 10:   1593278594
Pages:   272
Publication Date:   25 September 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

"""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"


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


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


Author Information

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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