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Enhancing Healthcare Security: A Unified RBAC and ABAC Risk-Aware Access Control Approach
by
Atlam, Hany F.
, Yang, Yifu
in
Access control
/ access control models
/ Adaptability
/ Attribute-Based Access Control
/ Decision making
/ Decisions
/ Electronic health records
/ Health care
/ Health care industry
/ Health care policy
/ healthcare security
/ Integrated approach
/ Internet of Things
/ Performance evaluation
/ Risk assessment
/ Risk-Based Access Control
/ Role-Based Access Control
/ Security
/ User behavior
/ XACML
2025
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Enhancing Healthcare Security: A Unified RBAC and ABAC Risk-Aware Access Control Approach
by
Atlam, Hany F.
, Yang, Yifu
in
Access control
/ access control models
/ Adaptability
/ Attribute-Based Access Control
/ Decision making
/ Decisions
/ Electronic health records
/ Health care
/ Health care industry
/ Health care policy
/ healthcare security
/ Integrated approach
/ Internet of Things
/ Performance evaluation
/ Risk assessment
/ Risk-Based Access Control
/ Role-Based Access Control
/ Security
/ User behavior
/ XACML
2025
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Do you wish to request the book?
Enhancing Healthcare Security: A Unified RBAC and ABAC Risk-Aware Access Control Approach
by
Atlam, Hany F.
, Yang, Yifu
in
Access control
/ access control models
/ Adaptability
/ Attribute-Based Access Control
/ Decision making
/ Decisions
/ Electronic health records
/ Health care
/ Health care industry
/ Health care policy
/ healthcare security
/ Integrated approach
/ Internet of Things
/ Performance evaluation
/ Risk assessment
/ Risk-Based Access Control
/ Role-Based Access Control
/ Security
/ User behavior
/ XACML
2025
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Enhancing Healthcare Security: A Unified RBAC and ABAC Risk-Aware Access Control Approach
Journal Article
Enhancing Healthcare Security: A Unified RBAC and ABAC Risk-Aware Access Control Approach
2025
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Overview
Healthcare systems are increasingly vulnerable to security threats due to their reliance on digital platforms. Traditional access control models like Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) have limitations in mitigating evolving risks in these systems. Despite their unique features, these models face limitations in mitigating evolving risks in healthcare systems. Traditional models are primarily oriented towards allocating permissions according to predetermined roles or policies, which results in challenges in effectively adapting to the dynamic complexities of modern healthcare ecosystems. Therefore, this paper proposes a novel risk-aware RBAC and ABAC access control model to enhance the flexibility, adaptability and security issues associated with healthcare systems. The proposed model integrates RBAC for role-based categorization, ABAC for fine-grained control based on user attributes and environmental factors, and Risk-Based Access Control (RiBAC) for dynamic risk assessment. The proposed model dynamically adjusts access permissions based on risk values, ensuring accurate and adaptable access control decisions. The experimental results demonstrate the feasibility and effectiveness of the proposed model in granting access to authorized users while denying access to unauthorized users. Through a series of 43 experiments that simulate various scenarios of access control operations in the healthcare system, the proposed model demonstrates significant improvement in the accuracy, precision, and recall of access control decisions compared to traditional models. The proposed model’s ability to dynamically assess risk and adjust access permissions based on contextual factors significantly enhances its ability to mitigate threats and protect sensitive medical data.
Publisher
MDPI AG
Subject
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