Data science for malware analysis
a comprehensive guide to using AI in detection analysis and compliance
Bibliographic details
Summary
This book explains how data science and artificial intelligence techniques can be applied to malware detection and analysis. It covers malware lifecycles, machine learning methods, behavioral analysis, reverse engineering, topological data analysis, and international cybersecurity compliance frameworks such as GDPR and CCPA. It is intended for cybersecurity professionals, data scientists, researchers, and IT decision-makers.