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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 (14) 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. Other Books You May Enjoy Appendix: Index

An Overview of the International History of Cyber Malware Impacts

International history has witnessed the rapid evolution and integration of technology across a wide range of sectors. In parallel, the rise of cyber threats, particularly malware, has significantly impacted nations, economies, and societies worldwide. This broad impact has changed the dynamics of international relations, warfare, crime, and economic interactions.

In this chapter, we will cover the following topics:

  • The evolution of cyber threats and malware
  • The future of malware
  • Key downstream impacts on key industries globally
  • The use of artificial intelligence (AI) systems with malware
  • Cybersecurity, malware, and the socio-economic fabric
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