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What is Cybersecurity Threat Hunting with Neo4j about?

This research presents a system utilizing a Neo4j graph database to enhance cybersecurity threat hunting and vulnerability analysis through open source intelligence. By establishing connections between various data sources, including blogs and threat reports, the system identifies potential indicators of compromise (IOCs) and employs machine learning for data filtering and analysis. The methodology demonstrates improved efficiency in querying relationships between known malicious IOCs and relevant documents

Author

jyothishks380

Language

EN