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This study introduces a graph model for Attribute-Based Access Control (ABAC) to enhance dynamic permission management. Graph-based ABAC enables efficient access enforcement and analysis using commercial graph databases like Neo4j.

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Area of Science:

  • Computer Science
  • Information Security
  • Database Systems

Background:

  • Attribute-Based Access Control (ABAC) offers dynamic and fine-grained permissions.
  • Existing ABAC models can be complex to implement and manage.
  • Need for efficient and scalable ABAC enforcement mechanisms.

Purpose of the Study:

  • Introduce a novel graph model for Attribute-Based Access Control (ABAC).
  • Demonstrate the feasibility of implementing ABAC using commercial graph databases.
  • Evaluate the performance of graph-based ABAC enforcement and analysis.

Main Methods:

  • Developed a graph model for ABAC utilizing directional flow capacities.
  • Mapped access control policies to graph pathways between subjects and objects.
  • Implemented the graph model using the Neo4j graph database.
  • Executed enforcement and analysis queries on the graph database.

Main Results:

  • The graph model effectively represents ABAC policies.
  • Attribute-Based Access Control can be efficiently implemented using graph databases.
  • Performance evaluation demonstrated the viability of graph queries for ABAC enforcement and analysis.
  • Neo4j successfully supported the graph-based ABAC implementation.

Conclusions:

  • Graph-based modeling provides a powerful approach for Attribute-Based Access Control.
  • Commercial graph databases offer a practical solution for deploying and managing ABAC systems.
  • This method simplifies ABAC enforcement and enables sophisticated access control analyses through graph queries.