Advanced Intrusion Detection Learning Path

Learn the methodology behind intrusion detection and craft detection rules and logic.

8 hours, 53 minutes

Quick facts

About this learning path

  • courses

    100% online

  • Duration

    8 hours, 53 minutes

  • Assessment


About Advanced Intrusion Detection

This learning path begins with an overview of intrusion detection and then dives into the data required to build various detection use cases and various open-source tools and frameworks for building and tuning your detections. Throughout the path, we will review the various aspects and frameworks that comprise intrusion detection techniques (network- and host-based) and explore real world use-cases and examples of detection methodology. At the end of this path, you will have the necessary skills to craft meaningful detections that can aid in identifying malicious activity within your organization's environment.



Advanced Intrusion Detection Skill Assessment

Assessment - 45 questions

Intrusion detection techniques and methods

Course - 00:51:00

An introduction to intrusion detection methodology. We will go over the basics of intrusion detection, why it is needed for every environment, the various types (network. versus host-based) and techniques for crafting detections. Students will learn the basics of IDS and why it's needed. We will cover popular tools and frameworks, as well as basic detection requirements.
Home Lab Setup

Course - 01:09:00

A guide to setting up a home lab using open-source, free software. Students will see the available options on the market for virtualization (VirtualBox or VMWare Workstation/Fusion) and how to download/install various VMs for intrusion detection and testing purposes. This knowledge will allow the students to set up their own lab if they so choose, and have a greater understanding of what's available for a home lab setup.
Network- versus host-based detection

Course - 00:39:00

This section provides a deeper dive into host- versus network-based intrusion detection. We will talk about the differences between the two, tools that can be used, the positives and negatives of both and how to effectively implement both techniques. We will also explore an open-source HIDS called Wazuh.
Anomaly detection

Course - 00:34:00

We will go over the basics of anomaly detection and how it can be used with other detection methods (signature) to identify malicious activity within your environment.
The ATT&CK Matrix and threat intel

Course - 00:36:00

Students will learn about the MITRE ATT&CK Framework and how to leverage it when building detections. We will also talk briefly about threat intelligence and how it can aid in detecting malicious activity.
Data management

Course - 01:08:00

In this course, we will discuss the importance of organizing how to collect, store and process the data you will eventually use for detections. We will cover the various stages of data collection, as well as methods and tools for collecting data. There will be an example of how to utilize various shippers, such as Beats agents.
Tactical data

Course - 00:52:00

This course builds on the data management course. We will talk about the detection life cycle and how you can make the data you collect tactical. We will also discuss the data dictionary and data models, and the importance of each when crafting detections.
Advanced detection through deception technology

Course - 00:34:00

This section will explore the world of deception technology and how it can be used to build additional detections. Deception technology is a more advanced style of detection, but we will go over the basics in this course. Students will learn about types of deception technology, honeypots and how to effectively use them.
Advanced Intrusion Detection project

Course - 02:20:00

This project consists of reviewing an alert for suspicious AV/Endpoint activity and connecting the dots between the event that occurred and what actions need to be taken to remediate it. Together, we will walk through a scenario, use the collected artifacts/telemetry in order to confirm our assumptions about the event and create a short write up about our findings.

Meet the author

Mark Viglione

Mark Viglione is a graduate of Penn State University. He has experience working at a Fortune 500 company as a cybersecurity engineer. Mark is the founder of Enigma Networkz, a SaaS cybersecurity data analytics company helping small to midsized organizations protect their environment from cyber threats. He is a member of Ben Franklin Technology Partner's client portfolio program and has been a speaker at Penn State Berks LaunchBox events. He has also authored various cybersecurity related coursework and labs.

Mark holds multiple cybersecurity certificates: SSCP (Systems Security Certified Practitioner), SANS GCIA (Certified Intrusion Analyst) and CompTIA CySA+ (Cybersecurity Analyst).

The details

Learning path insights

How to claim CPEs

Should you complete this learning path, you’ll be able to download a certificate of completion. Use this to claim your CPEs or CPUs.

Associated NICE Work Roles

All Infosec training maps directly to the NICE Workforce Framework for Cybersecurity to guide you from beginner to expert across 52 Work Roles.

  • All-Source Analyst
  • Mission Assessment Specialist
  • Exploitation Analyst

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