Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Anomaly DetectionBIG-bench Machine LearningSimilar Papers 제목 키워드 기반
A Survey on Explainable Artificial Intelligence for Cybersecurity
The black-box nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that …
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)SurveyExplainable Artificial Intelligence and Cybersecurity: A Systematic Literature Review
Cybersecurity vendors consistently apply AI (Artificial Intelligence) to their solutions and many cybersecurity domains can benefit from AI technology. However, black-box AI techniques present some difficulties in compre…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Systematic Literature ReviewA Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
The introduction of the European Union Artificial Intelligence Act, the NIST Artificial Intelligence Risk Management Framework, and related norms demands a better understanding and implementation of novel risk analysis a…
ManagementRobustness and Cybersecurity in the EU Artificial Intelligence Act
The EU Artificial Intelligence Act (AIA) establishes different legal principles for different types of AI systems. While prior work has sought to clarify some of these principles, little attention has been paid to robust…
Large Language Models in Cybersecurity: State-of-the-Art
The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications o…