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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

The future state of post-quantum cryptography in countering quantum-vulnerable malware

The quantum revolution is on the horizon. Quantum computers, leveraging the principles of quantum mechanics, promise computational capabilities that classical computers, bound by bits, cannot hope to achieve in a lifetime. With these newfound capabilities come unprecedented challenges, especially in the realm of cybersecurity. Classical encryption systems, the bedrock of modern digital security, are suddenly at risk of becoming obsolete, and the potential for malware exploiting quantum vulnerabilities lurks ominously.

Understanding the quantum threat

The imminent threat from quantum computers primarily centers on their potential to break widely used encryption algorithms. Specifically, quantum computers can efficiently run algorithms such as Shor’s algorithm, which can factor large numbers exponentially faster than the best-known algorithms on classical computers. This poses a direct...

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