A Hybrid Consensus Algorithm for Collaborative Protection of Multi-domain Education Data

Le résumé fourni par la source

Sharing education data among universities can inspire many new applications and developments. At the same time, blockchain technology can ensure the security and sharing of education data. However, the consensus algorithm cannot meet the requirements of low latency and high throughput in the current education blockchain. Therefore, we propose a hybrid consensus algorithm based on a master-slave blockchain (MSB) for multi-domain education data management (EDM) to maintain data consistency. First, we design a double-layer architecture of the MSB that can efficiently and securely handle large-scale education data from universities. Second, facing low consensus efficiency for EDM, we propose the hybrid consensus algorithm that combines the reputation-based RAFT (R-RAFT) and the multi-party optimized PBFT (M-PBFT). The experiment proves that the proposed solution can obviously improve the throughput compared with the single chain. Furthermore, it also performs well on latency, consensus speed, and Byzantine fault tolerance.

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