Developing the skills necessary for a security analyst to properly detect and triage advanced network intrusion tactics and techniques requires experience and the use of advanced detection capabilities. Neither of which are easily obtained. In this course, Security Event Triage: Detecting Network Anomalies with Behavioral Analysis, you will learn foundational knowledge required to separate good network traffic from bad and identify a myriad threat actor activity on an enterprise network. First, you will learn how to use frequency analysis to detect command and control, automated logins, and beaconing. Next, you will learn to leverage protocol analysis to identify DNS tunneling, anomalous HTTPS traffic, authentication brute forcing, and DHCP abuse. Finally, you will explore the use of population analysis by harnessing machine learning to identify HTTPS exfiltration and connect the dots associated with enterprise network intrusions. When you are finished with this course, you will have the skills and knowledge of network behavioral analysis needed to detect and triage events found at multiple levels of the cyber kill chain. Create your own network behavioral analysis workstation to follow along using your own environments data using the guide located here: https://github.com/arosenmund/pluralsight/tree/master/NBAD. This course is part of our Security Event Triage series which leverages MITRE ATT&CK to identify advance persistent threat tactics at all levels of the cyber kill chain.
Author Name: Aaron Rosenmund
Author Description:
Aaron M. Rosenmund is a cyber security operations subject matter expert, with a background in federal and business defensive and offensive cyber operations and system automation. Leveraging his administration and automation experience, Aaron actively contributes to multiple open and closed source security operation platform projects and continues to create tools and content to benefit the community. As an educator & cyber security researcher at Pluralsight, he is focused on advancing cyber secur… more

Table of Contents

• Course Overview
  1min
• Introduction to Network Behavioral Analysis
  11mins
• Frequency Analysis
  33mins
• Protocol Analysis
  35mins
• Population Analysis
  25mins
• Detecting the Anomalies
  13mins