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

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Table of Contents (14) Chapters

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

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The future state of integration of big data analytics in cybersecurity

In the intricate chess game of cybersecurity, data is both a boon and a bane. On one hand, modern networks, devices, and applications generate immense volumes of data. This treasure trove, while overwhelming, harbors invaluable insights, patterns, and signals. When harnessed correctly, these can transform the very essence of digital defense. On the other hand, the sheer volume can obfuscate these crucial details, making them needles in vast digital haystacks. The future, thus, seems unequivocally anchored in big data analytics, especially when married to the potent capabilities of AI.