TY  - BOOK
AU  - Saxe,Joshua
AU  - Sanders,Hillary
TI  - Malware data science: attack detection and attribution
SN  - 9781593278595
U1  - 005.8 
PY  - 2018///
CY  - San Francisco
PB  - No Starch Press
KW  - Malware (Computer software)
KW  - Computer viruses
KW  - Computer security
N2  - 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.

You'll learn how to:

Analyze malware using static analysis
Observe malware behavior using dynamic analysis
Identify adversary groups through shared code analysis
Catch 0-day vulnerabilities by building your own machine learning detector
Measure malware detector accuracy
Identify malware campaigns, trends, and relationships through data visualization
Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.

https://nostarch.com/malwaredatascience
ER  -