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Data Collection for Network Traffic Analysis

This course discusses the considerations and available technologies for developing a network traffic analysis program.

4 videos  //  60 minutes of training

Course description

In order to investigate a network traffic capture, it is first necessary to capture it. This course discusses methods and considerations for data collection of network traffic. Topics include considerations for deployment of monitoring appliances and the use of virtualization and deception for data collection.

Course syllabus

Introduction to Network Data CollectionDuration: 5:03

A brief introduction to data collection for network traffic analysis.

Monitoring Appliance DeploymentDuration: 18:03

Discussion of some of the important considerations when building a traffic analysis program.

Virtualization for Network Traffic AnalysisDuration: 12:48

Discussion of the use of virtualization and cloud computing for network traffic analysis.

Deceptive Technologies for Network Traffic AnalysisDuration: 24:10

Discussion of how deceptive technologies (e.g., honeypots) can be valuable for network data collection.

Meet the author

Howard Poston


Howard Poston is a cybersecurity researcher with a background in blockchain, cryptography and malware analysis. He has a master's degree in Cyber Operations from the Air Force Institute of Technology and two years of experience in cybersecurity research and development at Sandia National Labs. He currently works as a freelance consultant providing training and content creation for cyber and blockchain security. He can be reached by email at or via his website at

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FireEye, Inc.

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Plans and pricing





$599 / license

Annually. Includes all content plus team admin and reporting.