Malware Data Science: Attack Detection and Attribution
Malware Data Science: Attack Detection and Attribution
Tác giả: Joshua Saxe (Author), Hillary Sanders (Author)

Ngày đăng: 12/09/2019   Lượt xem: 36

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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.