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Data Science for Malware Analysis

You're reading from   Data Science for Malware Analysis A comprehensive guide to using AI in detection, analysis, and compliance

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781804618646
Length 230 pages
Edition 1st Edition
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Author (1):
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Shane Molinari Shane Molinari
Author Profile Icon Shane Molinari
Shane Molinari
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Table of Contents (15) Chapters Close

Preface 1. Part 1– Introduction
2. Chapter 1: Malware Science Life Cycle Overview FREE CHAPTER 3. Chapter 2: An Overview of the International History of Cyber Malware Impacts 4. Part 2 – The Current State of Key Malware Science AI Technologies
5. Chapter 3: Topological Data Analysis for Malware Detection and Analysis 6. Chapter 4: Artificial Intelligence for Malware Data Analysis and Detection 7. Chapter 5: Behavior-Based Malware Data Analysis and Detection 8. Part 3 – The Future State of AI’s Use for Malware Science
9. Chapter 6: The Future State of Malware Data Analysis and Detection 10. Chapter 7: The Future State of Key International Compliance Requirements 11. Chapter 8: Epilogue – A Harmonious Overture to the Future of Malware Science and Cybersecurity
12. Index 13. Other Books You May Enjoy Appendix

Summary

We covered a wide array of topics related to cybersecurity, specifically focusing on the broader impacts of malware and ransomware incidents. We discussed how these cyber threats have economic, socio-economic, and operational consequences, affecting not just individual businesses but the global economic landscape as well.

We delved into various downstream impacts, from supply chain disruptions and job losses to the erosion of public trust and the need for tighter regulations. Emphasis was given to how smaller businesses and public services are disproportionately affected by the cyber threat landscape and the challenges in keeping up with ever-changing regulations.

AI’s role was also highlighted, noting its dual-edged potential as a powerful tool for enhancing cybersecurity measures and, conversely, for creating more sophisticated and potentially undetectable malware. However, there have been no widely reported incidents where AI was the primary tool for deploying...

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