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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

The future state of automated malware analysis

In the continuously mutating landscape of cybersecurity, the surge of new malware poses daunting challenges. Each day heralds the arrival of numerous malware samples, each with potentially unique functionalities, signatures, and attack vectors. Manual malware analysis, with its time-consuming and intricate processes, struggles to keep pace. The future, therefore, appears to rest on the pillars of automation.

Why manual processes are no longer viable

Traditional manual malware analysis entailed a meticulous dissection of malicious software. Analysts would study its behavior, ascertain its functionalities, and investigate the underlying code to comprehend its mechanisms. But the exponential rise in malware, buoyed by automated malware generation tools, means that manual methods are akin to using a bucket to empty an overflowing river. Let’s look at why manual processes are no longer viable:

  • Volume overload: Every day...
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