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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

Benefits of AI in malware detection

Navigating the realm of malware detection, AI technologies bring forth pronounced advantages. In this section, we’ll delve into how AI enhances detection accuracy, amplifying the precision of malware detection systems. Then, we’ll discuss real-time threat monitoring, highlighting how AI facilitates continuous scrutiny and rapid response to threats. Lastly, we’ll spotlight AI’s role in achieving scalability and efficiency, enabling organizations to process vast data volumes effectively. Each section will underscore the transformative benefits of AI in malware detection methodologies.

Enhanced detection accuracy

AI techniques offer significant advantages in the field of malware detection, with enhanced detection accuracy being a primary benefit. Leveraging AI algorithms and models can greatly improve the accuracy and effectiveness of malware detection systems. Here are the key factors that contribute to enhanced detection...

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