A Federated Blockchain Architecture for File Storage with Improved Latency and Reliability in IoT DApp Services

Area of Science:

• Computer Science
• Distributed Systems
• Cybersecurity

Background:

• Current Internet of Things (IoT) systems face challenges with data integrity, single point of failure (SPOF), and distributed denial of service (DDoS) attacks.
• Integrating IoT devices as blockchain nodes improves data integrity but introduces scalability issues, necessitating external storage with reliability and latency drawbacks.

Purpose of the Study:

• To propose a novel method for managing large volumes of IoT data within a blockchain network, addressing latency and reliability concerns.
• To enhance the security and efficiency of IoT data management through a decentralized approach.

Main Methods:

• A blockchain network architecture is proposed where each node manages data locally, synchronized and recovered via smart contract consensus within a cluster network.
• The cluster network comprises service leader nodes (gateways) and cluster nodes (data storage), with metadata managed on the main blockchain.

Main Results:

• The proposed architecture demonstrates significant reductions in data upload (store) and download latency, up to 4 and 10 times, respectively, compared to external distributed storage.
• Performance analysis indicates that core consensus process elements like smart contract execution and metadata generation are not significantly impacted.

Conclusions:

• The proposed method effectively manages large-scale IoT data within a blockchain network, offering improved latency and reliability.
• This approach enhances the feasibility of secure and efficient IoT data handling through decentralized, localized storage and consensus mechanisms.