Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781804618646
Length 230 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Shane Molinari Shane Molinari
Author Profile Icon Shane Molinari
Shane Molinari
Arrow right icon
View More author details
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

The Future State of Malware Data Analysis and Detection

The rapidly evolving landscape of cyber threats and defenses is a testament to the dynamic nature of the digital age. As the sophistication and frequency of cyberattacks have intensified, so have the countermeasures and strategies employed by cybersecurity professionals. Central to these discussions has been the exploration of the future state of various cyber defense mechanisms.

From integrating advanced machine learning (ML) and artificial intelligence (AI) into detection systems to the promising prospects of next-generation sandbox environments, we will delve into the transformative potential of these mechanisms and the challenges and implications that they carry. With the stakes higher than ever in our interconnected digital ecosystem, understanding these future trajectories is crucial for ensuring a safer cyber landscape for all.

As we gaze into the future, several trends and developments promise to reshape the field...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image