Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
Cryptography and Security
2021-08-06 v1 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.
Cite
@article{arxiv.2108.02618,
title = {Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence},
author = {Erik Hemberg and Una-May O'Reilly},
journal= {arXiv preprint arXiv:2108.02618},
year = {2021}
}
Comments
5 pages, 2 Figures, 2 Tables, ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence- enabled Cybersecurity Analytics at KDD'21