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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.

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Summary
This summary is machine-generated.

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.

Keywords:
ABACPolicy MiningQueue with Vacation

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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.