Cybersecurity Datalake – Neo4J Knowledge Graph Dataset

Description: The Cybersecurity Datalake is an academic project focused on the collection, transformation, and analysis of cybersecurity data from multiple free and public sources. The goal is to build a consolidated database for analyzing vulnerabilities, threats, and trends in the cybersecurity ecosystem. High-level architecture: The data flow follows a linear progression from extraction to availability for advanced analysis: Data Sources: NVD, CVE List 5, CISA KEV, GitHub Advisories, CWE List Collection: Python Scripts + REST/GraphQL APIs Bronze Layer: Raw Data in Parquet/JSONL/CSV Transformation: Transformation Script (DuckDB + Python) Silver Layer: Unified Dataset in Parquet Analysis: Analysis Scripts and Gold Layer (Neo4J)