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Providing a provenance graph dataset for Advanced Persistent Threat (APT) detection research, mapping system events to graph structures.
Defensibility
stars
7
Phigros-dataset-2021 appears to be a static academic artifact or a personal research project rather than a maintained open-source tool. With only 7 stars and 0 forks over nearly 5 years (1720 days), it lacks any meaningful community traction or 'data gravity.' In the field of cybersecurity, datasets decay rapidly as attacker tactics (TTPs) evolve; a dataset from 2021 is already significantly dated for frontier APT detection research. It competes with established, larger-scale datasets like the DARPA Transparent Computing (TC) datasets, CADETS, and THEIA, which offer much larger volumes of data and higher-fidelity traces. The defensibility is near zero because it is a static collection of data without an associated active ingestion pipeline or community-driven labeling effort. Frontier labs are unlikely to care about this specific niche, but the project is effectively displaced by more modern, comprehensive datasets from organizations like CIC (University of New Brunswick) or industry threat-intelligence sharing platforms.
TECH STACK
INTEGRATION
reference_implementation
READINESS