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Computer Science
Cybersecurity
Intrusion Detection Systems
1. Introduction to Intrusion Detection Systems
2. Fundamental Concepts and Terminology
3. IDS Classification by Deployment Location
4. IDS Classification by Detection Methodology
5. IDS Architecture and System Components
6. IDS Operational Workflow and Processes
7. IDS Management and Optimization
8. IDS Evasion and Counter-Evasion
9. Advanced IDS Technologies and Trends
10. IDS Selection and Implementation
11. IDS Testing and Validation
12. Legal and Compliance Considerations
Advanced IDS Technologies and Trends
Artificial Intelligence and Machine Learning
Supervised Learning Applications
Unsupervised Learning Methods
Deep Learning Techniques
Natural Language Processing
AI Implementation Challenges
Cloud and Virtualized Environments
Cloud-Native IDS
Virtual Network Monitoring
Container Security
Serverless Monitoring
Multi-Tenant Considerations
Internet of Things and Operational Technology
IoT Device Monitoring
Industrial Control Systems
SCADA Security
Protocol-Specific Detection
Resource-Constrained Environments
Distributed and Collaborative Systems
Distributed IDS Architecture
Threat Intelligence Sharing
Collaborative Detection
Federated Learning
Integration and Orchestration
SOAR Platform Integration
Automated Response Systems
Threat Hunting Platforms
Security Analytics Integration
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8. IDS Evasion and Counter-Evasion
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10. IDS Selection and Implementation