Hyperledger Fabric Blockchain for Securing the Edge Internet of Things

Area of Science:

• Computer Science
• Cybersecurity
• Distributed Systems

Background:

• Internet of Things (IoT) networks face significant security and privacy challenges.
• Existing peer-to-peer IoT networks have limitations in performance and security.
• Blockchain technology offers a potential decentralized solution for IoT security.

Purpose of the Study:

• To develop an integrated IoT system using Hyperledger Fabric (HLF) for enhanced security and data traceability.
• To address performance limitations, scalability, and resource constraints of IoT edge devices in blockchain networks.
• To implement a local authentication process for securing edge computing devices.

Main Methods:

• Development of an integrated IoT system leveraging Hyperledger Fabric (HLF).
• Implementation of a local authentication process for edge computing devices.
• Utilization of smart contracts for defining rules and conditions via built-in queries.
• Performance validation through practical implementation, measuring transaction throughput, latency, resource consumption, and network usage.

Main Results:

• The proposed model effectively secures resource-constrained IoT devices.
• The Hyperledger Fabric implementation demonstrates promising performance metrics.
• The solution addresses scalability challenges and resource limitations in IoT edge devices.
• Data traceability for IoT-generated data is successfully provided.

Conclusions:

• The integrated IoT system with Hyperledger Fabric is a viable solution for enhancing security and privacy in IoT networks.
• The proposed platform is scalable and suitable for deployment in diverse IoT scenarios.
• The research demonstrates the potential of permissioned blockchains in securing edge computing environments.