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.
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 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@example.com or via his website at https://www.howardposton.com.
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