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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.
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