Malware Data Science : Attack, Detection, and Attribution
Book Details
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
23.00 x 17.00 x 2.00 cms
Product Classification:
Computer programming / software development
Ksh 9,700.00
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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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