Dynamic role-based access control policy for smart grid applications: an offline deep reinforcement learning approach
Role-based access control (RBAC) is adopted in the information and communication
technology domain for authentication purposes. However, due to a very large number of …
technology domain for authentication purposes. However, due to a very large number of …
Machine learning in access control: A taxonomy and survey
An increasing body of work has recognized the importance of exploiting machine learning
(ML) advancements to address the need for efficient automation in extracting access control …
(ML) advancements to address the need for efficient automation in extracting access control …
A minority class boosted framework for adaptive access control decision-making
Access control is an effective way to prevent data exfiltration from insiders. Recently,
machine learning algorithms have been widely used in access control decision-making …
machine learning algorithms have been widely used in access control decision-making …
Automatic hybrid access control in scada-enabled iiot networks using machine learning
The recent advancements in the Internet of Things have made it converge towards critical
infrastructure automation, opening a new paradigm referred to as the Industrial Internet of …
infrastructure automation, opening a new paradigm referred to as the Industrial Internet of …
FRAMH: A federated learning risk-based authorization middleware for healthcare
Modern healthcare systems operate in highly dynamic environments requiring adaptable
access control mechanisms. Access to sensitive data and medical equipment should be …
access control mechanisms. Access to sensitive data and medical equipment should be …
Administration of machine learning based access control
When the access control state of a system is complex, Machine learning (ML)-based access
control decision engines have demonstrated advantages of accuracy and generalizability …
control decision engines have demonstrated advantages of accuracy and generalizability …
A new scalable and expandable access control model for distributed database systems in data security
M Guclu, C Bakir, V Hakkoymaz - Scientific Programming, 2020 - Wiley Online Library
Access control models are an important tool developed for securing today's data systems.
Institutions use the access control models specifically to define who their employees are …
Institutions use the access control models specifically to define who their employees are …
[PDF][PDF] Adversarial attacks in machine learning based access control
MN Nobi, R Krishnan - Italian Conference on Big Data and Data Science …, 2022 - par.nsf.gov
While machine learning-based access control systems demonstrated their potential in large-
scale and complex applications context for accurate and generalized access decisions, the …
scale and complex applications context for accurate and generalized access decisions, the …
Mitigating Privilege Misuse in Access Control through Anomaly Detection
G Hasel Mehri, IL Wester, F Paci… - Proceedings of the 18th …, 2023 - dl.acm.org
Access control is a fundamental component of IT systems to guarantee the confidentiality
and integrity of sensitive resources. However, access control systems have inherent …
and integrity of sensitive resources. However, access control systems have inherent …
A Distributed Multi-User Access Control Middleware for Critical Applications
A Williams, A Roy, D Dasgupta - 2023 IEEE Symposium Series …, 2023 - ieeexplore.ieee.org
We present a novel access control middleware for distributed multi-user review. The system
uses a fuzzy inference system trained on real world access control rules to evaluate and …
uses a fuzzy inference system trained on real world access control rules to evaluate and …