Malware data science: attack detection and attribution
Material type:
- 9781593278595
- 005.8 S2M2
Item type | Current library | Item location | Collection | Shelving location | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|
Books | Vikram Sarabhai Library | Rack 3-B / Slot 99 (0 Floor, West Wing) | Non-fiction | General Stacks | 005.8 S2M2 (Browse shelf(Opens below)) | Available | 206756 |
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
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