RCCE Course
Course #460

Network forensics Incident Response: Mastery

📊 Level: Beginner
⏱️ Duration: 2 Days
🏷️ Track: DFIR
📋 Prerequisites: None
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn network forensic capture and analysis including full packet capture, network flow analysis, protocol reconstruction, network-based artifact extraction, and network timeline construction. RCCE students will learn to deploy network capture infrastructure for forensic purposes, collect full packet captures and network flow data during incident investigations, reconstruct network sessions and extract transferred files, analyze DNS queries, HTTP transactions, and encrypted traffic metadata, detect data exfiltration patterns through network forensics, build network-based attack timelines, and produce network forensic reports that complement host-based investigation findings. This incident response course prepares students to act decisively during security incidents with structured workflows and clear decision frameworks. Starting from foundational concepts, RCCE students will learn containment, evidence collection, eradication, and recovery procedures specific to this domain. Students practice incident scenarios that build the composure, coordination, and documentation skills essential for effective incident handling.

🎯 Target Audience
  • Security Engineers building defensive controls
  • Security Analysts and Blue Team members
  • Systems Administrators with security responsibilities
  • GRC and Risk Professionals supporting controls
  • Professionals implementing Network forensics Incident Response: Mastery
🧠 What You Will Learn
  • Execute hands-on tasks for network forensics
  • Build detections and response workflows for privilege escalation
  • Explain Course Overview fundamentals — covering Capture &.
  • Execute hands-on tasks for what you will master in this module — covering Capture &.
  • Execute hands-on tasks for learning objectives
  • Execute hands-on tasks for what is network forensics?
  • Explain Legal Foundation fundamentals — covering Scope.
  • Execute hands-on tasks for host forensics
  • Execute hands-on tasks for data source
  • Execute hands-on tasks for network evidence types
  • Execute hands-on tasks for full packet capture
  • Execute hands-on tasks for flow records
📚 Course Outline
Module 01Network Forensics
Module 02Incident Response
Module 03Course Overview
Module 04What You Will Master in This Module
Module 05Learning Objectives
Module 06What Is Network Forensics?
Module 07Legal Foundation
Module 08Host Forensics
Module 09Data Source
Module 10Network Evidence Types
Module 11Full Packet Capture
Module 12Flow Records
Module 13Protocol Logs
Module 14Capture Infrastructure Architecture
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice network forensics incident response: mastery by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Execute hands-on tasks for network forensics
  • Lab 2: Build detections and response workflows for privilege escalation
  • Lab 3: Explain Course Overview fundamentals
  • Lab 4: Execute hands-on tasks for what you will master in this module
  • Lab 5: Execute hands-on tasks for learning objectives
📊 Skill Level
Beginner
Beginner Intermediate Advanced Expert
Duration
2 Days
🎓
Certificate
Completion
🖥️
Lab Platform
Rose X OS
👨‍🏫
Mode of Training
Online Instructor-Led
🔥
Platform
Zelfire
🐦‍⬛
Cyber Range
Raven
📓
Study Material
CyberNotes
🏆 Certificate

Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Network forensics Incident Response: Mastery, verifiable through the Rocheston certification portal.

🔑 Student Access & Materials
  • Full access to all course materials and slide decks
  • Hands-on lab access on Rocheston Rose X OS environment
  • Access to Rocheston CyberNotes
  • Access to Rocheston Zelfire — EDR/XDR SIEM platform
  • Access to Rocheston Raven — online cyber range exercise platform
  • Access to Rocheston Vulnerability Vines AI