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Malware Data Science: Attack, Detection, and Attribution

Autor Joshua Saxe, Hillary Sanders
en Limba Engleză Paperback – 27 sep 2018
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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Specificații

ISBN-13: 9781593278595
ISBN-10: 1593278594
Pagini: 272
Ilustrații: 1
Dimensiuni: 178 x 235 x 22 mm
Greutate: 0.62 kg
Editura: Penguin Random House Group
Colecția No Starch Press
Locul publicării:New York, United States

Descriere

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