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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.

Computers & Security
|January 29, 2026
PubMed
Summary
This summary is machine-generated.

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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.
Keywords:
Attribute-based Access ControlIncremental AuthorizationPolicy MiningQueue with Vacation

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  • 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.