Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine Learning for Role-Based Access: a Review of the Literature
0
Zitationen
3
Autoren
2024
Jahr
Abstract
Access control is a crucial element of information technology security. It guarantees that only individuals with allowed permissions can access resources according to the privileges they have been given. Given the sensitivity of medical data, Role-Based Access Control, also known as RBAC, is most commonly used in university hospital centers. This study examines the influence of Machine Learning algorithms on RBAC model. It aims to conduct a comprehensive analysis to identify the algorithms best suited to enhance the security of university hospital centers.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.560 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.451 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.948 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.797 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.