Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Practical Threat Intelligence and Data-Driven Threat Hunting
  • Toc
  • feedback
Practical Threat Intelligence and Data-Driven Threat Hunting

Practical Threat Intelligence and Data-Driven Threat Hunting

By : Valentina Costa-Gazcón
4.5 (21)
close
Practical Threat Intelligence and Data-Driven Threat Hunting

Practical Threat Intelligence and Data-Driven Threat Hunting

4.5 (21)
By: Valentina Costa-Gazcón

Overview of this book

Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.
Table of Contents (21 chapters)
close
1
Section 1: Cyber Threat Intelligence
5
Section 2: Understanding the Adversary
9
Section 3: Working with a Research Environment
14
Section 4: Communicating to Succeed
Appendix – The State of the Hunt

Using data dictionaries

We discussed some of the different data sources that we can collect data from in Chapter 3, Where Does Data Come From?, where we stated that we can typically distinguish between three types of data logs sources: endpoint data sources, network data sources, and security data sources.

In this chapter, we are going to learn how using data dictionaries will help us relate the data sources to the data analytics we've gathered. We'll use these data dictionaries to give the events meaning through standardization.

The amount of data that will be collected will vary, depending on the organization's infrastructure, security policies, and resources. So, the first thing you must do is identify the data sources that you have available in your organization's environment. Once you have identified all these data sources, you can use a Collection Management Framework (CMF) to record which tools you are using and which information you are gathering...

bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete