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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

Summary

In the realm of cybersecurity, understanding the diverse landscape of malware and its applications is paramount. Malicious software, or malware, takes various forms, from ransomware, which holds data hostage, to rootkits, which stealthily gain control. Attackers ingeniously combine different types of malware to orchestrate complex, coordinated assaults. This fusion allows them to exploit diverse vulnerabilities, making detection and defense a formidable challenge.

The malware management life cycle, which encompasses collection, analysis, detection, prevention, mitigation, and reporting, forms a comprehensive strategy against these threats. Attackers strategically wield malware combinations such as swords, employing worms for initial access, Trojans for persistent control, and spyware for reconnaissance, all culminating in devastating ransomware attacks. The synergy of macro malware and spyware further bolsters their capabilities, infiltrating through documents and surreptitiously capturing user activity.

Understanding these mechanisms is vital to constructing effective defenses. As attackers adapt and innovate, cybersecurity professionals must stay ahead by developing robust strategies that encompass proactive measures, user education, and technological solutions. The battlefield between attackers and defenders continues to evolve, but by grasping the intricacies of malware and its amalgamations, the security landscape becomes more navigable, bolstering our ability to safeguard digital realms from these insidious threats.

You have been reading a chapter from
Data Science for Malware Analysis
Published in: Dec 2023
Publisher: Packt
ISBN-13: 9781804618646
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