Intrusion Detection Systems (IDS)

Description:

This 3-day intensive training provides an in-depth understanding of Intrusion Detection Systems (IDS), including their architecture, types, and applications in network security. Participants will learn how to detect and respond to various network threats and security breaches using IDS technologies. The course covers both signature-based and anomaly-based detection methods, providing hands-on experience with popular IDS tools like Snort and Suricata.

By the end of this course, participants will have a comprehensive understanding of IDS, its role in network security, and how to configure and deploy IDS tools to detect potential attacks in real-time.

Duration: 3 Days

Course Code: BDT372

Learning Objectives:

After this course, you will be able to:

• Understand the role and importance of Intrusion Detection Systems (IDS) in network security.
• Differentiate between Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS).
• Explore the architecture and components of IDS.
• Learn the difference between signature-based and anomaly-based
• Configure and deploy open-source IDS tools (e.g., Snort, Suricata).
• Analyze IDS logs and detect network intrusions.
• Understand advanced intrusion detection concepts such as Deep Packet Inspection (DPI) and Machine Learning-based anomaly detection.
• Perform hands-on labs using IDS tools to identify and mitigate real-world threats.

• Basic understanding of networking concepts (TCP/IP, OSI Model)
• Familiarity with security concepts (e.g., firewalls, basic cryptography)

• This training is designed for IT security professionals, network administrators, security engineers, and cybersecurity analysts who are responsible for monitoring and securing network infrastructure. It is also suitable for individuals preparing for cybersecurity certifications or those interested in enhancing their knowledge of IDS and related

Course Outline:

Module 1: Introduction to Intrusion Detection Systems (IDS)

Overview of IDS and its Role in Network Security

• Types of Intrusion Detection Systems: Host-based IDS (HIDS) vs. Network-based IDS (NIDS)
• Intrusion Detection Systems vs. Intrusion Prevention Systems (IPS)
• Components of IDS: Sensors, Analyzers, User Interface
• Detection Techniques: Signature-based vs. Anomaly-based Detection
• Common IDS Technologies (Snort, Suricata, Bro/Zeek)
• Challenges in IDS Deployment
  • False Positives and False Negatives
  • Network Overhead
  • Evasion Techniques

Hands-On Labs:

• Exploring an IDS Architecture
• Analyzing IDS Traffic and Alerts
• Examining Different Types of IDS Alerts

Module 2: Network-Based Intrusion Detection (NIDS) 

• Architecture of Network-based IDS
• Signature-Based Detection
• Rule Creation and Management
• Traffic Analysis and Packet Inspection
• Deep Packet Inspection (DPI) in IDS
• Network Traffic Anomalies and Behavior Analysis
• Case Study: Real-World IDS Deployment in an Enterprise Network

Hands-On Labs:

• Setting up and Configuring Snort
• Creating and Testing Custom Snort Rules
• Analyzing Network Traffic with Wireshark
• Detecting Malicious Traffic using Snort

Module 3: Host-Based Intrusion Detection (HIDS) 

• Introduction to Host-based IDS (HIDS)
• Monitoring System Logs and Files
• Kernel-Level Security Monitoring
• Host Activity and Behavior Analysis
• Implementing File Integrity Checking with HIDS Tools
• Configuring Alerts and Event Monitoring
• HIDS in Virtualized Environments

Hands-On Labs:

• Configuring OSSEC for Host-based Detection
• Monitoring Host Activity and Generating Alerts
• Setting up File Integrity Monitoring on a Linux Server
• Detecting Unauthorized System Changes

Module 4: Advanced IDS Techniques 

• Machine Learning in IDS for Anomaly Detection
• Hybrid IDS (Combining Signature and Anomaly Detection)
• Detecting Encrypted and Obfuscated Attacks
• Real-time Threat Intelligence Integration with IDS
• IDS and SIEM Integration (Security Information and Event Management)
• IDS in the Cloud and Virtual Environments
• Evasion Techniques: How Attackers Bypass IDS and Countermeasures

Hands-On Labs:

• Using Suricata for Anomaly Detection
• Detecting Encrypted Traffic Anomalies
• Integrating IDS with SIEM for Advanced Threat Detection
• Creating Hybrid IDS Rules

Module 5: IDS Configuration, Deployment, and Tuning 

• IDS Deployment Strategies: On-Premise vs. Cloud
• Best Practices for IDS Configuration
• Tuning IDS for Performance and Accuracy
• Managing and Updating IDS Signatures
• Incident Response and IDS Alerts
• Legal and Ethical Considerations in IDS Monitoring

Hands-On Labs:

• Deploying IDS on a Cloud Network
• Fine-tuning IDS to Reduce False Positives
• Configuring Alerts and Automated Responses
• Simulating Attacks to Test IDS Configuration

Module 6: Case Studies and Real-World Applications 

• Case Study 1: Large-Scale IDS Deployment in a Financial Organization
• Case Study 2: Detecting Advanced Persistent Threats (APTs) with IDS
• Case Study 3: IDS for Industrial Control Systems (ICS) and SCADA
• Future of IDS: Next-Generation Intrusion Detection Systems (NG-IDS)

Hands-On Labs:

• Scenario-based IDS Problem Solving and Case Study Walkthroughs
• Simulating and Detecting Advanced Attacks with IDS

Training Material Provided: 

• Detailed course handouts and reference materials
• Pre-configured virtual environments for hands-on labs
• Access to IDS tools (Snort, Suricata, OSSEC, etc.)
• Sample network traffic logs for analysis and practice