En total son 1.000 registros de eventos de seguridad extraídos de la base de datos VERIS disponible en https://github.com/vz-risk/VCDB.
Divididos en datos para entrenamiento, validación y test.
Contiene nuevaas etiquetas NER (ACTOR, ACTION, ASSETS) para entrenar con la intuición de servir para catalogar mejor los eventos de seguridad utilizando el framework de veris https://verisframework.org/veris_webapp
En total son 1.000 textos extraídos de la base de datos de VERIS VCDB https://github.com/vz-risk/VCDB, y entrenados con NER Annotator para las Etiquetas ACTOR, ACTION y ASSETS.
Separados en conjuntos de datos para train, validation y test.
La columna "entities" contiene las clases y la columna "text" contiene una narrativa de evento de ciberseguridad catalogado en la base de datos de VERIS.
The VERIS Community Database
Information sharing is a complex and challenging undertaking. If done correctly, everyone involved benefits from the collective intelligence. If done poorly, it may mislead participants or create a learning opportunity for our adversaries. The Verizon RISK Team supports and participates in a variety of information sharing initiatives and research efforts. We continue to drive the publication of the Verizon Data Breach Investigations Report (DBIR) annually, where we have an unprecedented number of new data-sharing partners, and we are committed to keeping the report publicly available and free to download. We regularly receive inquiries about our dataset, and our ability to share further, but we are limited in what data we can share in raw format due to agreements with our partners and customers.
The Problem
While there are a handful of efforts to capture security incidents that are publicly disclosed, there is no unrestricted, comprehensive raw dataset ava…
