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Malware Data Science : Attack, Detection, and Attribution

By: (Author) Hillary Sanders , (Author) Joshua Saxe

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Ksh 9,700.00

Format: Paperback / Softback

ISBN-10: 1593278594

ISBN-13: 9781593278595

Publisher: No Starch Press,US

Imprint: No Starch Press,US

Country of Manufacture: US

Country of Publication: GB

Publication Date: Sep 25th, 2018

Print length: 272 Pages

Weight: 454 grams

Dimensions (height x width x thickness): 23.00 x 17.00 x 2.00 cms

Product Classification: Computer programming / software development

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Identify, analyse, and classify large-scale malware using machine learning and data visualisation.
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.

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