Network Forensics and Intrusion Detection Training Course

Introduction

The Network Forensics and Intrusion Detection Training Course provides in-depth knowledge and practical skills to help participants identify, investigate, and mitigate security incidents with precision.

The course begins with an exploration of the fundamentals of intrusion detection systems (IDS) and network forensics, introducing core methodologies, architectures, and tools for monitoring and securing digital environments. Participants will gain exposure to open-source and commercial solutions, including signature-based and anomaly-based detection approaches.

Hands-on modules allow learners to capture, analyze, and reconstruct network traffic to identify malicious behavior. From packet inspection and log analysis to malware detection and intrusion prevention strategies, participants will learn how to transform data into actionable intelligence.

Special emphasis is placed on forensics investigation, incident response, and evidence handling. Participants will understand legal and procedural considerations when working with digital evidence, ensuring compliance with international standards in cybercrime investigations.

The course also covers advanced topics such as threat intelligence integration, AI-driven intrusion detection, cloud and virtualized environment monitoring, and emerging issues such as encrypted traffic analysis and insider threat detection.

By the end of the course, participants will be able to build robust intrusion detection frameworks, apply forensic methodologies to investigate incidents, and design strategies to prevent future breaches, ensuring organizational resilience against cyber threats.

Who Should Attend

• Network Security Engineers and Analysts
• Cybersecurity Forensic Investigators
• Security Operations Center (SOC) Analysts
• IT Security Managers and Administrators
• Law Enforcement Cybercrime Units
• Incident Response and Crisis Management Teams
• Systems and Network Administrators
• Cybersecurity Consultants and Auditors
• Cloud and Data Center Security Specialists
• Digital Forensics Professionals
• Risk and Compliance Officers
• Researchers in Cybersecurity and Digital Forensics

Duration

10 Days

Course Objectives

By the end of this course, participants will be able to:

• Understand core concepts of network forensics and intrusion detection.
• Configure and deploy intrusion detection and prevention systems.
• Capture and analyze network traffic for forensic investigations.
• Identify and classify malicious activity within networks.
• Conduct log analysis for incident detection and response.
• Reconstruct attack patterns from digital evidence.
• Apply forensic methodologies to maintain chain of custody.
• Investigate intrusions in cloud and hybrid environments.
• Integrate threat intelligence into intrusion detection systems.
• Utilize AI and machine learning in anomaly-based detection.
• Develop organizational strategies for proactive monitoring.
• Respond effectively to incidents with forensic accuracy.

Comprehensive Course Outline

Module 1: Introduction to Network Forensics

• Principles of network forensics
• Role in cybersecurity and law enforcement
• Tools and methodologies
• Challenges and best practices

Module 2: Fundamentals of Intrusion Detection

• IDS vs. IPS concepts
• Signature-based detection
• Anomaly-based detection
• Open-source IDS solutions

Module 3: Packet Capture and Analysis

• Traffic sniffing tools (Wireshark, tcpdump)
• Deep packet inspection techniques
• Packet reconstruction
• Identifying malicious payloads

Module 4: Log Analysis for Forensics

• Sources of log data
• Correlating events from multiple logs
• Detecting anomalies in system logs
• Centralized log management

Module 5: Intrusion Detection Frameworks

• IDS architecture design
• Placement of IDS in networks
• Distributed IDS systems
• Tuning IDS for performance

Module 6: Forensic Investigation Methodologies

• Chain of custody procedures
• Evidence collection standards
• Preserving digital evidence
• Reporting and documentation

Module 7: Malware and Attack Pattern Analysis

• Malware traffic identification
• Botnet detection strategies
• Advanced persistent threats (APT)
• Case studies of major attacks

Module 8: Incident Response and Crisis Management

• Incident detection and verification
• Immediate containment strategies
• Recovery and remediation steps
• Communication and reporting protocols

Module 9: Encrypted Traffic Analysis

• SSL/TLS decryption challenges
• Identifying anomalies in encrypted traffic
• Tools for encrypted traffic inspection
• Legal considerations in decryption

Module 10: Threat Intelligence Integration

• Sources of threat intelligence
• Feeds and indicators of compromise (IoCs)
• Automated detection using threat data
• Real-time intelligence application

Module 11: Cloud and Virtualized Environments

• Forensics in cloud platforms
• Virtual machine traffic monitoring
• Multi-cloud forensic challenges
• Cloud-native intrusion detection tools

Module 12: AI and Machine Learning in IDS

• AI-driven anomaly detection
• ML algorithms for intrusion classification
• Reducing false positives
• Emerging innovations in IDS

Module 13: Insider Threat Detection

• Identifying suspicious user behavior
• Behavioral analytics tools
• Monitoring privileged accounts
• Case studies on insider threats

Module 14: Advanced Tools and Technologies

• Next-gen IDS solutions
• Network forensic appliances
• Automated packet analysis
• Integration with SIEM systems

Module 15: Case Studies and Best Practices

• Real-world forensic investigations
• Lessons from major cyber breaches
• Best practices in IDS deployment
• Building resilient detection strategies

Module 16: Capstone Project

• Design and deploy IDS for an enterprise network
• Conduct forensic investigation on simulated traffic
• Create incident response documentation
• Present findings and recommendations

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.