Research on Internal Supply Chain Traceability Based on SF-BRBC Optimization Consensus Algorithm

Due to the advantages of decentralization and traceability, blockchain has become one of the common method to solve the problem of supply chain traceability. The core of achieving this goal lies in the consensus algorithm of blockchain algorithm, which has certain flaws such as low security, high communication complexity, or uneven distribution of rights. If applied directly, the algorithm may face the main bottleneck due to these flaws. In response to the poor security of internal supply chain traceability, this paper proposes an improved version of the Proof of Authority (PoA) algorithm named as Blockchain Reputation-Based Consensus (BRBC). To address the identity management and weak trust mechanism issues in the BRBC algorithm, the improved Security and Faster Blockchain Reputation-Based Consensus (SF-BRBC) algorithm is proposed in our paper. This algorithm solves the problem of weak applicability of the BRBC algorithm in identity-sensitive scenarios by introducing a Bloom filter. It also optimizes issues such as doubts about judge nodes, long voting time, and reputation accumulation in its own trust mechanism. Through experimentation, it has been shown that the SF-BRBC algorithm performs well in improving the security performance of internal supply chain traceability. This not only allows for better and more stable development of the supply chain but also provides supply chain enterprises with a greater advantage in industry competition.