QA0076.90000000.A25S2 2018Recommended
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
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- Category
- Computer Science
- Priority
- Recommended
- Author works
- 1
- Editions known
- 1
- Dewey (DDC)
- Library of Congress (LCC)
DATE DUE
First published2018
StatusREAD
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