Introduction

As cyber threats grow in complexity, Network Intrusion Detection and Analysis (NIDA) has become a critical pillar in securing IT infrastructure. Training Course on Network Intrusion Detection and Analysis equips cybersecurity professionals, system administrators, and IT managers with the skills to detect, analyze, and respond to network-based attacks in real-time. With the increasing reliance on cloud services, IoT devices, and mobile networking, organizations require robust intrusion detection mechanisms to mitigate vulnerabilities and maintain secure environments.

In this comprehensive program, participants will gain hands-on experience using open-source and commercial intrusion detection systems (IDS), explore modern threat intelligence techniques, and apply deep packet inspection tools to evaluate and interpret suspicious activities. By combining real-world case studies with lab-based exercises, this course ensures learners are equipped with actionable knowledge to fortify enterprise networks against advanced persistent threats (APTs), zero-day attacks, and lateral movement within systems.

Programme Curriculum

Training Course on Network Intrusion Detection and Analysis

Introduction

Course Objectives

Understand network intrusion detection system (NIDS) architecture and components.
Identify and analyze signature-based vs anomaly-based detection techniques.
Use tools like Snort, Suricata, and Zeek for real-time monitoring.
Perform packet capture and traffic analysis using Wireshark and tcpdump.
Apply threat hunting techniques using threat intelligence feeds.
Understand MITRE ATT&CK Framework for mapping attack vectors.
Develop skills in network forensics and incident response planning.
Detect and mitigate zero-day exploits and advanced persistent threats (APTs).
Conduct SIEM integration with IDS tools for automated analysis.
Deploy honeypots and deception technologies for threat detection.
Evaluate network logs for suspicious behavior patterns.
Build and maintain custom rules for IDS/IPS environments.
Simulate real-world cyberattacks and analyze their lifecycle.

Target Audience

Cybersecurity Analysts
Network Engineers
System Administrators
SOC (Security Operations Center) Staff
IT Security Consultants
Digital Forensics Experts
Government and Military IT Staff
Cybersecurity Students and Educators

Course Duration: 5 days

Course Modules

Module 1: Introduction to Intrusion Detection Systems (IDS)

Overview of IDS and IPS
Types of intrusion detection: Host-based vs Network-based
Components and architecture of IDS
Common attack signatures and behaviors
IDS configuration and deployment scenarios
Case Study: How a financial firm blocked SQL injection via Snort IDS

Module 2: Packet Analysis and Network Traffic Monitoring

Capturing packets using Wireshark and tcpdump
Understanding TCP/IP layers and protocols
Analyzing normal vs suspicious traffic
Flow analysis and data reconstruction
Network monitoring strategies and baselines
Case Study: Identifying DNS tunneling in a compromised environment

Module 3: Signature-Based vs Anomaly-Based Detection

Strengths and weaknesses of each approach
Using Snort for rule-based detection
Creating and modifying detection rules
Identifying false positives and negatives
Combining detection methods for effectiveness
Case Study: Detecting ransomware using hybrid detection techniques

Module 4: Threat Intelligence and Threat Hunting

Sources of threat intelligence feeds
Indicators of Compromise (IoCs)
Integrating threat intel into IDS
Developing threat hunting hypotheses
Tools and frameworks for proactive defense
Case Study: Using threat feeds to detect command-and-control activity

Module 5: Deep Dive into Snort, Suricata, and Zeek

Installation and setup of IDS tools
Configuration and tuning for optimal detection
Custom rule writing and alert management
Performance considerations and resource tuning
Comparison of features across IDS tools
Case Study: Comparing Suricata vs Zeek in detecting brute-force attacks

Module 6: Network Forensics and Incident Response

Preserving evidence and chain of custody
Analyzing PCAP files post-incident
Timeline reconstruction of attacks
Collaborating with IR teams and legal entities
Reporting and documenting forensic findings
Case Study: Forensic investigation of an insider data breach

Module 7: SIEM and IDS Integration

Overview of SIEM platforms (Splunk, ELK)
Log correlation and alert management
Centralized dashboards for monitoring
Setting thresholds and notifications
Automated response workflows
Case Study: Integrating Zeek logs with ELK to identify port scanning

Module 8: Real-World Intrusion Simulation and Defense

Simulating common network attacks (DDoS, MITM, ARP poisoning)
Using tools like Metasploit and Kali Linux
Defensive response drills
Analysis and reporting of simulated incidents
Red team vs blue team scenarios
Case Study: Company-wide simulation of phishing attack and IDS response

Training Methodology

Interactive Lectures to explain theoretical concepts and tools
Hands-on Lab Exercises using open-source and commercial IDS tools
Case Study Analysis to apply theory to real-world scenarios
Simulation-based Learning for practicing detection and response
Group Discussions and Q&A to enhance understanding and peer learning
Assessments and Quizzes after each module to track progress
Capstone Project involving a full-cycle intrusion detection and analysis exercise

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

IDS/IPS platforms traffic analysis software

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000