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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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Toc

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

advanced AI integration

in malware detection 139

advanced ML integration

in malware detection 139

advanced persistent threats (APTs) 68, 107, 141

adversarial attacks 91, 92

adversarial defense

improving 100

adware 4

AI-based malware analysis

challenges 91

AI-based malware analysis, challenges

adversarial attacks 91, 92

data privacy and ethical considerations 93, 94

interpretability and explainability 94, 95

AI ethics and governance standards

future state 162, 163

AI in malware analysis

advancements 100

AI in malware analysis, advancements

adversarial defense, improving 100

hybrid approaches 101, 102

XAI 102

AI, in malware detection

benefits 95-100

AI integration

challenges and considerations 147

defining 146

transformative...

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