Knowledge Graphs for Next-Level Cyber Threat Intelligence

Overview

Syllabus

• Introduction to Cyber Threat Intelligence
Overview of Cyber Threat Intelligence (CTI)
Limitations of current CTI standards (e.g., STIX)
• Basics of Knowledge Graphs
Definition and importance of knowledge graphs
Key components: nodes, edges, and properties
Ontologies and vocabularies
• Semantic Technologies in Cybersecurity
Introduction to semantic web technologies
Role of RDF, OWL, and SPARQL
Linking data with ontologies
• Enhancing CTI with Knowledge Graphs
Integrating knowledge graphs with existing CTI frameworks
Case studies: Beyond STIX standards
• Building a Cyber Threat Knowledge Graph
Tools and platforms for creating knowledge graphs
Data sources for cyber threat information
Mapping and integration
• Advanced Threat Detection using Knowledge Graphs
Pattern recognition and anomaly detection
Real-time threat intelligence updates
Practical use cases and demonstrations
• Analyzing and Querying Knowledge Graphs for CTI
Writing SPARQL queries for threat intelligence analysis
Visualizing query results and analysis
Practical exercises
• Challenges and Future Trends
Scalability and performance considerations
Privacy and security implications
Emerging trends and future directions
• Practical Demonstrations and Applications
Live demonstration of a cyber threat knowledge graph
Case study analysis
Group project work and presentations
• Conclusion and Next Steps
Summary of key concepts
Further resources and reading
Course assessments and feedback

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Subjects

Computer Science