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 …

Administrator-centered access control failures can cause data breaches, putting
organizations at risk of financial loss and reputation damage. Existing graphical policy …

Because of GDPR's principle of “data protection by design and by default”, organizations
who wish to stay lawful have to re-think their data practices. Access Control (AC) can be a …

Microservices have emerged as a prevalent architectural style in modern software
development, replacing traditional monolithic architectures. The decomposition of business …

针对访问控制策略的自动化生成问题, 提出了一种基于深度学习的ABAC
访问控制策略生成框架, 从自然语言文本中提取基于属性的访问控制策略, 该技术能够显著降低 …

The healthcare system is a distributed collaborative system and the sensitivity of the medical
data is one of the most important requirements. Preventing unauthorized access to …

Access control policies (ACPs) are natural language statements that describe criteria under
which users can access resources. We focus on constructing NIST Next Generation Access …

ABSTRACT Recently Deep Learning based Access Control (DLBAC) model has been
developed to reduce the burden of access control model engineering on a human …

Access Control Policies (ACPs) are essential for ensuring secure and authorized access to
resources in IoT networks. Recognizing these policies involves identifying relevant …

Manually generating access control policies from an organization's high-level requirement
specifications poses significant challenges. It requires laborious efforts to sift through …