Malware Data Science: Attack Detection and Attribution
by Joshua Saxe, Hillary Sanders
Learn to use data science methods to detect malware and attribute attacks, combining machine learning and statistical analysis for improved cybersecurity.
About This Book
This book explores the intersection of data science and cybersecurity, focusing on methods for identifying malicious software.
Readers will learn how to leverage machine learning and statistical analysis to detect threats and trace their origins.
The content covers foundational concepts and practical approaches for analyzing malware using data-driven techniques.
It is designed for professionals and researchers interested in enhancing their skills in digital defense and threat intelligence.
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