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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
9.
Advanced IDS Technologies and Trends
9.1.
Artificial Intelligence and Machine Learning
9.1.1.
Supervised Learning Applications
9.1.2.
Unsupervised Learning Methods
9.1.3.
Deep Learning Techniques
9.1.4.
Natural Language Processing
9.1.5.
AI Implementation Challenges
9.2.
Cloud and Virtualized Environments
9.2.1.
Cloud-Native IDS
9.2.2.
Virtual Network Monitoring
9.2.3.
Container Security
9.2.4.
Serverless Monitoring
9.2.5.
Multi-Tenant Considerations
9.3.
Internet of Things and Operational Technology
9.3.1.
IoT Device Monitoring
9.3.2.
Industrial Control Systems
9.3.3.
SCADA Security
9.3.4.
Protocol-Specific Detection
9.3.5.
Resource-Constrained Environments
9.4.
Distributed and Collaborative Systems
9.4.1.
Distributed IDS Architecture
9.4.2.
Threat Intelligence Sharing
9.4.3.
Collaborative Detection
9.4.4.
Federated Learning
9.5.
Integration and Orchestration
9.5.1.
SOAR Platform Integration
9.5.2.
Automated Response Systems
9.5.3.
Threat Hunting Platforms
9.5.4.
Security Analytics Integration
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8. IDS Evasion and Counter-Evasion
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10. IDS Selection and Implementation