This project focuses on building a cyber threat intelligence system that aggregates threat feeds, correlates attack indicators, and assigns trust scores to entities such as IP addresses, domains, and applications.
Study cyber threat intelligence frameworks.
Identify threat data sources and indicators of compromise.
Design data ingestion and normalization pipelines.
Implement correlation engine for threat matching.
Develop trust scoring algorithms for entities.
Visualize risk levels using dashboards.
Test detection accuracy with simulated attacks.
Analyze false positive and false negative rates.
Evaluate scalability of threat feed integration.
Document risk scoring methodology.
