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Malware Data Science - Attack, Detection, and Attribution (Paperback)
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Malware Data Science - Attack, Detection, and Attribution (Paperback)
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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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