Formalizing Permission to Delegate and Delegation with Policy Interaction

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.