Data Analysis for Network Traffic Analysis

This course covers the fundamentals of connection and statistical and event-based analysis of network traffic data.

8 videos  //  142 minutes of training

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Course description

Having access to network traffic data is of very limited value without the ability to analyze it. In this course, you will learn about connection-based analysis, statistical analysis and event-based analysis, their relative pros and cons for different monitoring situations, and tools and techniques for performing them effectively.

Course syllabus

Introduction to Network Data AnalysisDuration: 6:52

A brief introduction to data analysis of network traffic.

Tools for Data AnalysisDuration: 11:02

Discussion of the wide range of tools that can be used for traffic analysis.

Scapy DemoDuration: 21:12

Demonstration of some of the features of scapy, Python's PCAP analysis package.

Connection AnalysisDuration: 8:54

Discussion of connection analysis and its uses for network traffic analysis.

Statistical AnalysisDuration: 21:51

Discussion of statistical analysis, some techniques and its uses for network traffic analysis.

Event-Based AnalysisDuration: 42:00

Discussion of event-based analysis and its uses for network traffic analysis.

YARA DemoDuration: 18:04

Demonstration of the use of YARA rules with scapy for packet capture analysis.

Snort DemoDuration: 11:55

Demonstration of the use of Python to generate Snort signatures for network traffic analysis.

Meet the author

Howard Poston

LinkedIn

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 [email protected] or via his website at https://www.howardposton.com.

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