In our age of rampant cyber threats, the sophistication of malware is a significant challenge for detection and analysis. Malware Data Science is an enlightening journey into the union of data science and cybersecurity.
This guide starts by delineating the intricate nuances of malware, from its lifecycle to its technological underpinnings. It then introduces the prowess of data science in malware detection, a fusion of machine learning, statistical analytics, and even social network analysis.
The journey doesn't stop at detection. Dive deep into the analytical side as the book unveils methods of reverse engineering, machine language, dynamic scrutiny, and behavioural assessments of malicious software. As cybersecurity doesn't function in a vacuum, understand the evolving landscape of compliance. Regulations such as GDPR and CCPA are decoded, offering readers insights into the global efforts in curbing cyber threats.
A perfect fit for cybersecurity professionals, data science enthusiasts, and anyone intrigued by the crossroads of malware and advanced analytics, this book serves as both an educational resource and a practical manual for day-to-day malware defense.

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Spis treści

Malware Science. A comprehensive guide to detection, analysis, and compliance eBook -- spis treści

• 1. Malware Data Science Life Cycle Overview
• 2. An Overview of the International History of Cyber Malware Impacts
• 3. Topological Data Analysis for Malware Detection and Analysis
• 4. Artificial Intelligence for Malware Data Analysis and Detection
• 5. Behavior-Based Malware Data Analysis and Detection
• 6. The Future State of Malware Data Analysis and Detection
• 7. The Future State of Key International Compliance Requirements
• 8. Epilogue – A Harmonious Overture to the Future of Malware Data Science and Cybersecurity