HADA: A Hybrid Authentication and Dynamic Attribute Access Control Mechanism for the Internet of Things Using...

Area of Science:

• Cybersecurity
• Internet of Things (IoT)

Background:

• The proliferation of Internet of Things (IoT) devices presents significant cybersecurity challenges due to the vast amount of sensitive data generated and transmitted.
• Existing security frameworks often struggle to address the unique vulnerabilities within diverse IoT ecosystems.

Purpose of the Study:

• To develop a comprehensive security framework for IoT ecosystems.
• To enhance device authentication, implement attribute access control, and ensure privacy preservation.

Main Methods:

• Introduced HADA, a hybrid authentication method combining unique credentials and trust value validation (identity, certificate, reconfigurable physical unclonable function (PUF), trust).
• Utilized differential privacy for secure credential exchange.
• Developed a dynamic attribute access control using Bi-Fuzzy logic and graph neural network (GNN) algorithms.
• Implemented the SKINNY algorithm for data encryption within a Hyperledger Fabric blockchain.

Main Results:

• The proposed HADA system demonstrates superior performance compared to existing methods.
• Achieved improvements in throughput and latency.
• Showcased enhanced resource utilization in IoT security.

Conclusions:

• The developed security framework effectively addresses critical vulnerabilities in IoT ecosystems.
• HADA provides a robust solution for secure device authentication, access control, and data privacy.
• The integration with blockchain ensures secure and efficient data management.