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Performance Analysis of Dynamic ABAC Systems using a Queuing Theoretic Framework.
Gaurav Madkaikar1, Karthikeya S M Yelisetty1, Shamik Sural1
1Indian Institute of Technology, Kharagpur, West Bengal, India.
This study models dynamic Attribute-Based Access Control (ABAC) systems using queuing theory. It balances access control efficiency with policy updates, minimizing system downtime during rebuilding.
Area of Science:
- Computer Science
- Information Security
- Systems Engineering
Background:
- Attribute-Based Access Control (ABAC) systems rely on policies for access decisions.
- Dynamic ABAC systems require managing authorization changes via auxiliary lists, impacting efficiency.
- Periodic policy rebuilding is necessary but computationally expensive and causes system unavailability.
Purpose of the Study:
- To address the challenge of balancing access request resolution, dynamic authorization updates, and ABAC policy rebuilding.
- To investigate performance trade-offs in dynamic ABAC systems.
Main Methods:
- Modeled access mediation as an M/G/1 queue with vacation/limited service.
- Analyzed the impact of queue discipline on performance parameters.
- Conducted extensive experiments to evaluate system behavior.
Main Results:
- The queuing model effectively represents the trade-offs in dynamic ABAC systems.
- Queue discipline significantly influences access resolution time and system availability.
- Experimental results offer guidance for efficient dynamic ABAC implementation.
Conclusions:
- A queuing theoretic approach provides a framework for optimizing dynamic ABAC systems.
- Careful consideration of queue discipline is crucial for performance.
- The findings facilitate more efficient and available dynamic ABAC systems.

