TITLE: Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence 

ABSTRACT: Artificial Intelligence (AI) and Machine Learning (ML) algorithms can support
the span of indicator-level, e.g. anomaly detection, to behavioral level cyber
security modeling and inference. This contribution is based on a dataset named
BRON which is amalgamated from public threat and vulnerability behavioral
sources. We demonstrate how BRON can support prediction of related threat
techniques and attack patterns. We also discuss other AI and ML uses of BRON to
exploit its behavioral knowledge.
Artificial Intelligence (AI) and Machine Learning (ML) algorithms can support
the span of indicator-level, e.g. anomaly detection, to behavioral level cyber
security modeling and inference. This contribution is based on a dataset named
BRON which is amalgamated from public threat and vulnerability behavioral
sources. We demonstrate how BRON can support prediction of related threat
techniques and attack patterns. We also discuss other AI and ML uses of BRON to
exploit its behavioral knowledge.
Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
http://arxiv.org/abs/2108.02618v1