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Queuing Theoretic Analysis of Dynamic Attribute-Based Access Control Systems
Gaurav Madkaikar1, Shamik Sural1, Jaideep Vaidya2
1Indian Institute of Technology Kharagpur, Kharagpur, India.
Attribute-based Access Control (ABAC) efficiency declines with added user authorizations. Modeling access mediation as an M/G/1 queue with vacation balances request resolution and policy rebuilding for better system performance.
Area of Science:
- Computer Science
- Information Security
- Systems Engineering
Background:
- Attribute-based Access Control (ABAC) relies on policy enforcement.
- Incremental user-specific authorizations can degrade ABAC performance.
- Rebuilding ABAC policies is computationally expensive and causes system downtime.
Purpose of the Study:
- To address the challenge of balancing access resolution, dynamic updates, and ABAC policy rebuilding.
- To improve the efficiency of ABAC systems with auxiliary authorizations.
- To minimize system unavailability during policy updates.
Main Methods:
- Modeled access mediation as an M/G/1 queue with vacation using queuing theory.
- Analyzed the impact of request arrival rate, resolution time, vacation duration, and interval.
- Conducted extensive experiments to evaluate the proposed model.
Main Results:
- The M/G/1 queue with vacation model effectively balances access request processing and policy rebuilding.
- Key parameters significantly influence system performance and availability.
- Experimental results provide insights into optimizing ABAC implementation.
Conclusions:
- The queuing theoretic approach offers a viable solution for efficient ABAC management.
- Dynamic adjustments to vacation parameters can enhance system responsiveness.
- This research guides the development of more robust and efficient ABAC systems.
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