Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence

2021/08/05 by Erik Hemberg, Hemberg, Erik, Una-May O’Reilly +1
Computer Science · #Advanced Malware Detection Techniques #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information and Cyber Security #Network Security and Intrusion Detection

paper · pdf · doi:10.48550/arxiv.2108.02618

openalex publication_date 2021/08/05 · openalex created_date 2021/08/16 · openalex updated_date 2026/07/28

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.

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