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Formalizing Permission to Delegate and Delegation with Policy Interaction.

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This study introduces a hierarchical policy model (HPol) to manage access control delegation in Internet of Things (IoT) systems. It addresses delegation conflicts and enhances security by integrating with blockchain technology.

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Area of Science:

  • Computer Science
  • Information Security
  • Network Engineering

Background:

  • Internet of Things (IoT) systems require robust access control for intelligent environments.
  • Hierarchical delegation in access control presents challenges like redundancy and conflict.
  • Existing models struggle with advanced delegation functionalities.

Purpose of the Study:

  • To propose and implement an enhanced hierarchical policy model (HPol) for IoT access control delegation.
  • To address issues of redundancy, conflict, and revocation in delegation.
  • To explore the integration of IoT delegation with blockchain architecture.

Main Methods:

  • Developed a hierarchical policy model (HPol) with features for positive and negative delegation.
  • Implemented the HPol model using Python (version 3.10).
  • Conducted experiments to evaluate the model's performance under various scenarios.

Main Results:

  • The HPol model effectively manages positive ('YES') and negative ('NO') delegation, including permissions to delegate.
  • Experimental results verified the advantages of the proposed approach in different scenarios.
  • The model demonstrated capability for blockchain integration, enhancing IoT security and scalability.

Conclusions:

  • The enhanced HPol model offers a viable solution for complex delegation in IoT access control.
  • Blockchain integration significantly improves security, verification, and scalability of IoT intelligent systems.
  • The model provides a foundation for more sophisticated and secure IoT access management.