Towards Supporting Attribute-Based Access Control in Hyperledger Fabric Blockchain

Area of Science:

• Computer Science
• Information Security
• Distributed Systems

Background:

• Hyperledger Fabric (HLF) is a leading open-source permissioned blockchain platform for multi-organizational enterprise use.
• Ensuring secure access control is paramount in HLF environments with diverse participants.
• Current HLF versions offer limited Attribute-Based Access Control (ABAC) functionality, insufficient for complex enterprise interactions.

Purpose of the Study:

• To develop and present methods for achieving comprehensive Attribute-Based Access Control (ABAC) in Hyperledger Fabric.
• To address the limitations of existing access control models in HLF for multi-organizational settings.
• To enhance the security and usability of enterprise-level permissioned blockchains.

Main Methods:

• Development of novel methods to implement full Attribute-Based Access Control (ABAC) capabilities within Hyperledger Fabric.
• Integration and testing of the proposed ABAC solutions within the HLF framework.
• Performance evaluation using the Hyperledger Caliper benchmarking tool across various network configurations.

Main Results:

• Successful implementation of comprehensive Attribute-Based Access Control (ABAC) functionality in Hyperledger Fabric.
• Demonstration of the proposed methods' efficiency through performance benchmarks.
• Validation of the approach's suitability for enterprise-level permissioned blockchains.

Conclusions:

• The developed methods provide a robust solution for full ABAC in Hyperledger Fabric.
• The enhanced ABAC functionality effectively addresses security requirements in multi-organizational blockchain settings.
• The proposed approach is efficient and practical for real-world enterprise blockchain deployments.