Malware Data Science: Attack Detection and Attribution

Malware Data Science: Attack Detection and Attribution provides a comprehensive overview of the techniques and methodologies used in the field of malware analysis and detection. The book combines theoretical concepts with practical applications, making it an essential resource for cybersecurity professionals and data scientists alike.

This book explores the intersection of data science and cybersecurity, focusing on the detection and attribution of malware attacks. It covers various data analysis techniques, machine learning algorithms, and real-world case studies to equip readers with the knowledge needed to combat malware threats effectively.