Network Traffic Analysis Training

Network Traffic Analysis Training

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Introduction:

Network Traffic Analysis Training Course with hands-on labs

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.

Your Registration Includes

  • 5 days of Network Traffic Analysis Training with an expert instructor
  • Network Traffic Analysis Electronic Guide
  • 100% Satisfaction Guarantee
  • Certificate of Completion

Resources:

Related Courses

Customize It:

  • If you are familiar with some aspects of Network Traffic Analysis Training, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Network Traffic Analysis Training 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.

Objectives:

After completing this Network Traffic Analysis course, attendees will be able to:

  • 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 Outline:

Day 1:

OSI and TCP/IP Models

  • Basic Header Structures
  • Analyze Packets by Hand
  • IP and TCP Options
  • OS Detection Techniques

Number Theory

  • Accelerated Number Conversion
  • Boolean Logic
  • Boolean Functions
  • Basic Obfuscation Techniques

Wireshark Tutorial

  • PCAP Meta-data
  • Wireshark Meta-data
  • User Preferences
  • Dissector Basics
  • Display Filters
  • Custom Filters

Day in the Life (TCP/IP)

  • Inter-Process Communications
  • Flow Control
  • Congestion Control
  • Switching and Routing
  • Common TCP/IP Application In-Depth Filters

Day 2:

Analytic Process

  • Logic Fundamentals
  • Applying Logic to Traffic Analysis

Internet Research

  • Brief History of the Internet
  • Current Organizations
  • Research Tools

Traffic Analysis

  • Scope Problems/Events
  • Event Analysis
  • Display Filters

Attribution

  • Route Path Selection
  • Traceroute Analysis

Day 3:

Research Techniques

  • RFC and Other Supporting Documentation
  • Client/Server Relationships

Start-to-Finish Protocol Analysis (Demo Email)

  • Research Documentation
  • Work with Encoding
  • Network Reconstruction

Regular Expressions

  • Pattern Matching

Analysis Beyond Wireshark

  • Custom Filters
  • Filter with Regular Expressions
  • Research Non-Dissected Protocols
  • Analyze Non-Dissected Protocols

Secure Protocols

  • Security Fundamentals
  • Work in an Encrypted Environment

Day 4:

Referrers, User-Agents, and Cookies

  • Identify System Architectures
  • Identify Operating Systems
  • Identify Applications
  • Identify User Preferences
  • Follow User Activities
  • Identify Third-Party Tracking Activities

Big Capture

  • You will work in a small group to identify traffic and reconstruct the topology of an unknown environment. You will then decipher obfuscated transactions and map observed activities back to the respective user.
  • More Tools and Tricks

Day 5:

Student Practical Demonstration:

  • Using the tools, skills, and methodologies taught in days one through four of the class you will participate in a challenging and competitive Capture-the-Flag (CTF) exercise

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

Whether you are looking for general information or have a specific question, we want to help!

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