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Mastering Defensive Security

You're reading from   Mastering Defensive Security Effective techniques to secure your Windows, Linux, IoT, and cloud infrastructure

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781800208162
Length 528 pages
Edition 1st Edition
Languages
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Author (1):
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Cesar Bravo Cesar Bravo
Author Profile Icon Cesar Bravo
Cesar Bravo
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Toc

Table of Contents (23) Chapters Close

Preface 1. Section 1: Mastering Defensive Security Concepts
2. Chapter 1: A Refresher on Defensive Security Concepts FREE CHAPTER 3. Chapter 2: Managing Threats, Vulnerabilities, and Risks 4. Chapter 3: Comprehending Policies, Procedures, Compliance, and Audits 5. Chapter 4: Patching Layer 8 6. Chapter 5: Cybersecurity Technologies and Tools 7. Section 2: Applying Defensive Security
8. Chapter 6: Securing Windows Infrastructures 9. Chapter 7: Hardening a Unix Server 10. Chapter 8: Enhancing Your Network Defensive Skills 11. Chapter 9: Deep Diving into Physical Security 12. Chapter 10: Applying IoT Security 13. Chapter 11: Secure Development and Deployment on the Cloud 14. Chapter 12: Mastering Web App Security 15. Section 3: Deep Dive into Defensive Security
16. Chapter 13: Vulnerability Assessment Tools 17. Chapter 14: Malware Analysis 18. Chapter 15: Leveraging Pentesting for Defensive Security 19. Chapter 16: Practicing Forensics 20. Chapter 17: Achieving Automation of Security Tools 21. Chapter 18: The Master's Compilation of Useful Resources 22. Other Books You May Enjoy

Working with IPS/IDS

In this section, we will explain what an IDS and an IPS are, provide some examples of these systems, and also consider the differences between these two similar technologies.

What is an IDS?

An IDS is a passive monitoring solution that detects unwanted intrusions in our networks.

Once the intrusion is detected, the IDS will send an alert to a security analyst for further investigation and action (as shown in the following figure):

Figure 8.28 – IDS representation

In terms of deployment, an IDS can be deployed at the host level (HIDS) or network level (NIDS).

There are two main IDS engines, one that is based on signatures (examples are classic antiviruses that use a database of signature to detect malicious software), and one that is anomaly-based, which detects intrusions based on deviations from established patterns. In this latter category, there are also systems that leverage cognitive computing to enhance the recognition...

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