ENGLISH

Malware data science: attack detection and attribution

By Sanders , Joshua , Hillary;Saxe

Book information

Publisher
No Starch Press
Year
2018
ISBN
9781593278601, 1593278608
Language
english
Format
EPUB
Filesize
24 MB (25385789 bytes)
Pages
1 (243 Seiten)\0
Time added
2020-07-26 19:24:52

Description

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 scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis.

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