Cover of Malware Data Science: Attack Detection and AttributionQA0076.90000000.A25S2 2018
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Malware Data Science: Attack Detection and Attribution

by Joshua Saxe · Hillary Sanders

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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 defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scient

First published 2018274 pages
005
Category
Computer Science
Priority
Recommended
Author works
1
Editions known
1
Classification
Dewey (DDC)
005
Library of Congress (LCC)
QA0076.90000000.A25S2 2018
Subjects
Computer securityComputer virusesDebugging in computer scienceMalware (Computer software)Malware (computer software)
This edition
ISBN 9781593278601EnglishFirst-edition ISBN: 9781593278595
DATE DUE
First published2018
StatusREAD

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