Unmasking Malware What We Learn from Its Behavior
Автор: CyberSecurity Summary
Загружено: 2024-11-10
Просмотров: 8
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This summary is talking about the Book "Malware Data Science Attack Detection and Attribution".
This book, "Malware Data Science: Attack Detection and Attribution," by Joshua Saxe and Hillary Sanders, is a comprehensive guide to applying data science techniques to malware analysis and detection. It covers a range of topics, including static and dynamic malware analysis, network visualization, machine learning algorithms, and deep learning neural networks. The book provides practical guidance on extracting features from malware, building and evaluating machine learning models, and using data visualization to gain insights from large malware datasets. The authors also share their insights on the challenges and rewards of becoming a security data scientist.
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