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Threat Hunting with Elastic Stack

You're reading from   Threat Hunting with Elastic Stack Solve complex security challenges with integrated prevention, detection, and response

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801073783
Length 392 pages
Edition 1st Edition
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Author (1):
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Andrew Pease Andrew Pease
Author Profile Icon Andrew Pease
Andrew Pease
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies
2. Chapter 1: Introduction to Cyber Threat Intelligence, Analytical Models, and Frameworks FREE CHAPTER 3. Chapter 2: Hunting Concepts, Methodologies, and Techniques 4. Section 2: Leveraging the Elastic Stack for Collection and Analysis
5. Chapter 3: Introduction to the Elastic Stack 6. Chapter 4: Building Your Hunting Lab – Part 1 7. Chapter 5: Building Your Hunting Lab – Part 2 8. Chapter 6: Data Collection with Beats and Elastic Agent 9. Chapter 7: Using Kibana to Explore and Visualize Data 10. Chapter 8: The Elastic Security App 11. Section 3: Operationalizing Threat Hunting
12. Chapter 9: Using Kibana to Pivot Through Data to Find Adversaries 13. Chapter 10: Leveraging Hunting to Inform Operations 14. Chapter 11: Enriching Data to Make Intelligence 15. Chapter 12: Sharing Information and Analysis 16. Assessments 17. Other Books You May Enjoy

Missing data

As important as identifying deviations from your collected data profile is, it is also important to understand when you're missing data that you are expecting.

Intelligence analysis is an ancient discipline and frequently, we can apply non-cyber scenarios to cyber scenarios to solve the same problems.

In the Second World War, the United States could not turn the tide of air superiority maintained by the Axis powers. To solve this problem, the United States decided to improve its armoring strategy. A project was hatched to analyze returning Allied aircraft to identify where the bullet holes were and improve the armor around those areas to make the aircraft more resilient.

Sadly, this made a negative impact. Aircraft were still being damaged and not returning. Additionally, they were heavier than they had been before, making them slower, harder to maneuver, meaning they consumed more fuel:

Figure 2.4 – Survivorship bias

A mathematician named Abraham...

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