A common trait of current access control approaches is the challenging need to engineer
abstract and intuitive access control models. This entails designing access control …

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 …

Attribute-based access control (ABAC) is being widely adopted due to its flexibility and
universality in capturing authorizations in terms of the properties (attributes) of users and …

The Internet of Things (IoT) is a technologyof connecting billions of devices with
heterogeneous types and capabilities. Even though it is an attractive environment that could …

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 …

Organisations are adopting new IT strategies such as “Bring Your Own Device”(BYOD) and
remote working. These trends are highly beneficial both for enterprise owners and …

Policy mining is an automated procedure for generating access rules by means of mining
patterns from single permissions, which are typically registered in access logs. Attribute …

Abstract The Internet of Things (IoT) is a grand vision of connecting billions of devices with
heterogeneous types and capabilities. Even though it is an attractive environment that could …

Attribute-based access control (ABAC) has higher flexibility and better scalability than
traditional access control and can be used for fine-grained access control of large-scale …

Access control systems in large organizations often struggle with managing complex
policies and workloads. However, there is potential for deep learning models to address …