Introduction

In today’s rapidly evolving digital threat landscape, Network Forensics and Incident Response (NFIR) has become a vital discipline for cybersecurity professionals, IT teams, and government security agencies. With the surge in ransomware attacks, data breaches, and nation-state cyber espionage, organizations must be equipped with proactive skills and forensic intelligence to detect, analyze, mitigate, and recover from network-based incidents. Training Course on Network Forensics & Incident Response blends theoretical foundations with hands-on simulations using real-world cyber-attack case studies.

The course provides learners with cutting-edge tools, practical strategies, and tactical frameworks for responding to cyber threats in real time. Using industry-leading platforms, participants will gain comprehensive skills in packet analysis, log correlation, malware tracking, and incident lifecycle management, essential for any modern-day cybersecurity analyst, SOC engineer, or digital investigator. Whether combating insider threats or tracking external attackers, this course is designed to foster deep investigation capabilities and actionable response planning.

Programme Curriculum

Network Forensics and Incident Response Training Course

Introduction

In today’s rapidly evolving digital threat landscape, Network Forensics and Incident Response (NFIR) has become a vital discipline for cybersecurity professionals, IT teams, and government security agencies. With the surge in ransomware attacks, data breaches, and nation-state cyber espionage, organizations must be equipped with proactive skills and forensic intelligence to detect, analyze, mitigate, and recover from network-based incidents. Network Forensics and Incident Response Training Course blends theoretical foundations with hands-on simulations using real-world cyber-attack case studies.

Course Objectives

Understand the fundamentals of network forensics and its role in cyber threat intelligence.
Learn to detect and investigate malicious network activity using modern tools.
Perform real-time incident response and log analysis during attacks.
Master techniques in packet sniffing, deep packet inspection, and session reconstruction.
Analyze malware-infected traffic and extract Indicators of Compromise (IOCs).
Conduct forensic timeline reconstruction using network logs and packet captures.
Apply threat hunting methodologies to proactively uncover hidden threats.
Use SIEM tools for log correlation and alert prioritization.
Establish and follow incident response playbooks based on industry standards (NIST, SANS).
Build and report actionable forensic evidence for legal and compliance use.
Understand network protocol behaviors for anomaly detection and pattern matching.
Integrate automated response systems with manual investigation techniques.
Conduct post-incident reviews and recommend mitigation strategies.

Target Audiences

Cybersecurity Analysts
Security Operations Center (SOC) Engineers
IT Security Managers
Incident Response Teams
Digital Forensics Professionals
Government & Law Enforcement Cyber Units
Network Administrators
Ethical Hackers & Penetration Testers

Course Duration: 10 days

Course Modules

Module 1: Introduction to Network Forensics

Definition and scope of network forensics
The role of forensics in cybersecurity
Key terminologies and frameworks
Differences between digital and network forensics
Tools overview (Wireshark, TCPdump, Tshark)
Case Study: Identifying rogue access points in a corporate network

Module 2: Networking Fundamentals for Forensics

OSI model and data flow review
TCP/IP protocols and forensic importance
Packet structures and dissection
Protocol behavior during attacks
Common network devices and logs
Case Study: Analysis of an internal DNS poisoning attack

Module 3: Capturing Network Traffic

Packet sniffing tools and configuration
Network taps and SPAN port usage
Traffic filters and capture best practices
Storage and retention policies
Encryption considerations in traffic capture
Case Study: Capture and decode command & control traffic

Module 4: Log Analysis & Correlation

Syslog, Windows Event Logs, and NetFlow basics
Log aggregation tools (Splunk, ELK Stack)
Log normalization and parsing
Pattern recognition and anomaly detection
Correlating logs across multiple systems
Case Study: Log-based detection of brute-force attacks

Module 5: Deep Packet Inspection (DPI)

Understanding DPI engines
Identifying payload anomalies
Malware behavior via DPI
DPI vs traditional IDS/IPS
Integration with forensic platforms
Case Study: DPI uncovering hidden data exfiltration

Module 6: Network Intrusion Detection & Forensics

IDS/IPS architecture and placement
Open-source IDS tools (Snort, Suricata)
Alert tuning and signature customization
Rule writing and traffic inspection
Signature vs anomaly-based detection
Case Study: Detecting SQL injection using Snort

Module 7: Malware Traffic Analysis

Identifying malware behavior in network traffic
Reverse engineering basics
Malware sandboxing tools
Static vs dynamic malware analysis
Tracing callback and beaconing
Case Study: Analyzing ransomware lateral movement

Module 8: Threat Intelligence Integration

Sources of threat intelligence
Threat feeds and IOC enrichment
STIX, TAXII, and MISP integration
Linking intelligence to forensics
Intelligence-led incident response
Case Study: Mitigating a phishing campaign using threat intel feeds

Module 9: Incident Response Lifecycle

NIST/SANS IR framework overview
Roles and responsibilities in an IR team
Triage and escalation protocols
Evidence preservation and chain of custody
Post-incident reporting best practices
Case Study: Coordinating a cross-department IR simulation

Module 10: Forensic Reporting & Documentation

Report structure and objectives
Legal considerations in reporting
Visualizations using forensic data
Stakeholder-centric documentation
Compliance frameworks (HIPAA, GDPR)
Case Study: Preparing legal-grade reports for a data breach

Module 11: Automation in Forensics

Automating packet analysis and log parsing
Python for network forensics
SOAR platforms overview
Benefits of automation in IR
Case generation and ticketing integration
Case Study: Automated IOC extraction and alerting pipeline

Module 12: Insider Threat Investigation

Behavioral analysis and monitoring
Data exfiltration detection
Email and file transfer tracking
Insider threat kill chain
User behavior analytics (UBA)
Case Study: Catching a privileged user data leak

Module 13: Cloud Forensics & Network Visibility

Cloud network architecture (AWS, Azure, GCP)
Cloud-native forensic tools
Log collection in cloud environments
SaaS & API traffic monitoring
Cloud IR challenges and solutions
Case Study: Investigating a misconfigured S3 bucket breach

Module 14: Wireless Network Forensics

Wireless protocols and vulnerabilities
Capturing Wi-Fi traffic (Aircrack-ng, Kismet)
WPA2 cracking and handshake analysis
Rogue AP detection and mitigation
Wireless traffic filtering techniques
Case Study: Breach via unauthorized access on a public Wi-Fi

Module 15: Red Team vs Blue Team Simulation

Offensive vs defensive tactics
Red team attack simulation
Blue team detection and response
Post-exercise debrief and improvement
Practical exercise and tools comparison
Case Study: Simulated APT attack and full-cycle response

Training Methodology

Instructor-led theoretical sessions with interactive Q&A
Real-time hands-on labs and simulations
Use of open-source and enterprise-grade forensic tools
Case study walkthroughs based on real-life cyber attacks
Group activities and team-based forensic exercises
Pre- and post-assessments to track knowledge retention

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Network Forensics Incident Response Cybersecurity IT Security Digital Investigation

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000