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
