Network Traffic Analysis Training

Network Traffic Analysis Training will teach you to differentiate between normal and abnormal network traffic, track the flow of packets through a network, and attribute conversations and actions taken over a network segment to specific hosts or users. This Network Traffic Analysis course focuses on research, filtering, and comparative analysis to identify and attribute the different types of activity on a network. You will learn how to follow conversations across a wide range of protocols and through redirection, as well as how to develop custom filters for non-dissected protocols. On Day 5 of the course, you will participate in a team-based capture-the-flag exercise to test your new skills.

Learn how to differentiate between normal and abnormal network traffic, track the flow of packets through a network, and attribute conversations and actions taken over a network segment to specific hosts or users.

Network Traffic Analysis TrainingDuration: 5 days

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CUSTOMIZE It
  • We can adapt this Network Traffic Analysis course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Network Traffic Analysis course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Network Traffic Analysis Course around the mix of technologies of interest to you (including technologies other than those included in this outline).
  • If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Network Traffic Analysis course in manner understandable to lay audiences.
AUDIENCE/TARGET GROUP

The target audience for this Network Traffic Analysis course:

  • Network analysts seeking to develop security-related skills
  • Incident responders needing to quickly address system security breaches
  • Penetration testers looking to reduce their detectability
  • Threat operations analysts seeking a better understanding of network intrusions
  • All network administrators needing a better understanding of network security
CLASS PREREQUISITES

The knowledge and skills that a learner must have before attending this Network Traffic Analysis course are:

Network Traffic Analysis Training - OBJECTIVES

Upon completing this Network Traffic Analysis course, learners will be able to meet these objectives:

  • Create a baseline of the protocols, hosts and interactions in a network environment
  • Identify anomalous network traffic using a combination of in-depth packet analysis and high-level statistical analysis
  • Reconstruct event timelines and accurately correlate, or distinguish between, event threads
  • Identify and extract network artifacts for further forensic analysis
  • Compare observed network traffic to expected topology
  • Research and analyze unknown (non-dissected) protocols
  • Track web activity at the user or session level via HTTP header analytics
Network Traffic Analysis Training - COURSE SYLLABUS
  • Building Blocks
  • OSI &TCP/IP Review
  • Wireshark Tutorial
  • Day in the Life (Common Protocols)
  • Extracting Objects
  • TCP – A Deeper Look
  • Analytic Approach
  • Internet Research
  • Isolating Traffic
  • Routing Principles
  • Traceroute Analysis
  • Standards and Protocol Analysis
  • Start-to-Finish Protocol
  • Analysis (Email Example)
  • Analysis Beyond Wireshark
  • Secure Protocols
  • HTTP Header Analytics
  • Big Capture
  • More Tools and Tricks
Labs:
  • Wireshark Filtering (Part 1, Part 2)
  • A Day in the Life (Common Protocols)
  • Exporting Objects
  • TCP/IP Analysis
  • Internet Research
  • Isolate Event #1
  • Isolate Event #2
  • Isolate Event #3
  • Isolate Event #4
  • Isolate Event #5
  • RFC Research
  • Meta-data Analysis
  • Non-Dissected Protocol Analysis
  • Encrypted Traffic Analysis Referer
  • User-Agents
  • Web Request Tracking
  • Large Capture Investigation
Network Traffic Analysis Training Course Wrap-Up

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