RCCE Course
Course #763

Timeline analysis Tuning and Optimization: Field Guide

📊 Level: Advanced
⏱️ Duration: 2 Days
🏷️ Track: DFIR
📋 Prerequisites: DFIR foundations
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn digital forensics acquisition, evidence handling, timeline reconstruction, memory and disk analysis, and forensic reporting. RCCE students will learn to collect and preserve digital evidence following forensically sound procedures, reconstruct attack timelines from multiple artifact sources, perform forensic analysis on endpoints, memory, networks, and cloud environments, and produce investigation reports that withstand legal and regulatory scrutiny. This optimization course focuses on maximizing effectiveness and efficiency in production security operations. At an expert level, RCCE students will learn to reduce noise, improve signal quality, tune configurations for optimal performance, and measure operational improvements. Students gain the operational maturity to transform good security programs into exceptional ones.

🎯 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 Timeline analysis Tuning and Optimization: Field Guide
🧠 What You Will Learn
  • Execute hands-on tasks for timeline analysis
  • Explain Topic Map Overview fundamentals
  • Execute hands-on tasks for 1. timeline analysis fundamentals
  • Execute hands-on tasks for 3. filesystem timeline artifacts
  • Execute hands-on tasks for 4. windows event log timelines
  • Execute hands-on tasks for 5. registry & prefetch analysis
  • Execute hands-on tasks for 6. memory forensics correlation
  • Execute hands-on tasks for 7. network artifact timelines
  • Execute hands-on tasks for 8. cloud forensic timelines
  • Execute hands-on tasks for timeline analysis fundamentals
  • Execute hands-on tasks for why optimization matters — covering Chronological reconstruction of system events, Raw timelines contain millions of events.
  • Execute hands-on tasks for maps events to mitre att&ck phases — covering Raw timelines contain millions of events.
📚 Course Outline
Module 01Timeline Analysis
Module 02Topic Map Overview
Module 031. Timeline Analysis Fundamentals
Module 043. Filesystem Timeline Artifacts
Module 054. Windows Event Log Timelines
Module 065. Registry & Prefetch Analysis
Module 076. Memory Forensics Correlation
Module 087. Network Artifact Timelines
Module 098. Cloud Forensic Timelines
Module 10Timeline Analysis Fundamentals
Module 11Why Optimization Matters
Module 12Maps events to MITRE ATT&CK phases
Module 13The Super Timeline Concept
Module 14Super Timeline Definition
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice timeline analysis tuning and optimization: field guide by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Execute hands-on tasks for timeline analysis
  • Lab 2: Explain Topic Map Overview fundamentals
  • Lab 3: Execute hands-on tasks for 1. timeline analysis fundamentals
  • Lab 4: Execute hands-on tasks for 3. filesystem timeline artifacts
  • Lab 5: Execute hands-on tasks for 4. windows event log timelines
📊 Skill Level
Advanced
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 Timeline analysis Tuning and Optimization: Field Guide, 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