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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781804618646

Length 230 pages

Edition 1st Edition

Concepts

Threat Hunting

Author (1):

Shane Molinari

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

Future prospects

The future of AI in malware analysis is promising, with several potential advancements on the horizon. Let’s take a look at them.

The future state of AI in adversarial defense is likely to be characterized by the following trends:

Increased use of adversarial training: Adversarial training is becoming increasingly popular in improving the robustness of machine learning models. As this technique becomes more sophisticated, it is likely to become even more effective at defending against adversarial attacks.
Development of new adversarial defenses: Researchers are constantly developing new techniques to defend against adversarial attacks. These techniques are likely to become more effective as AI technology continues to advance.
Increased use of XAI: XAI is becoming increasingly important for understanding and defending against adversarial attacks. As XAI techniques become more sophisticated, they are likely to...

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