利用信任值提高性能和安全性的优化拜占庭容错算法

IET Blockchain Pub Date : 2023-08-07 DOI:10.1049/blc2.12039
Linqing Xiao, Juntao Gao, Baocang Wang, Xuelian Li
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引用次数: 0

摘要

区块链因其去中心化、开放性和不可篡改性而被认为是一种前景广阔的技术。然而,目前的区块链系统还不能取代传统金融机构,因为其共识算法的性能和安全指标并不完善。作为新兴的扩容技术之一,分片技术通过将用户分组并行处理交易,提高了吞吐量。本文提出了一种改进的拜占庭容错算法 TV-BRAFT。TV-BRAFT 通过激励机制为每个用户计算信任值。采用基于信任值的分区方案,降低恶意节点被分配到同一分区的概率,从而提高系统的安全性。在共识中,系统选择信任值合格的用户组成验证组,监督共识过程,避免向区块链提交错误交易。为了证明 TV-BRAFT 能够抵御拜占庭攻击,使用递归公式证明了分片的安全性和一个分片内共识的安全性。最后,仿真结果表明,TV-BRAFT 不仅保证了激励的公平性,而且在效率和吞吐量方面优于 Raft 和 PBFT 算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimized byzantine fault tolerant algorithm for improving performance and security with trust values

Optimized byzantine fault tolerant algorithm for improving performance and security with trust values

Blockchain is considered to be a promising technology due to its decentralization, open, and non tamperation. Nevertheless, the current blockchain system cannot replace traditional financial institutions because its performance and security indicators in the consensus algorithm are not perfect. As one of the emerging capacity expansion technologies, sharding technology improves throughput by grouping users and processing transactions in parallel. This paper proposes an improved Byzantine Fault Tolerance algorithm TV-BRAFT. TV-BRAFT calculates a trust value for each user through an incentive mechanism. The sharding scheme based on the trust value is adopted to reduce the probability of malicious nodes being allocated to the same partition, thus improving the security of the system. In the consensus, the system selects users with qualified trust values to form a verification group to supervise the consensus process and avoid submitting error transactions to the blockchain. In order to prove that the TV-BRAFT can resist Byzantine attacks, a recursive formula is used to prove the security of sharding and the security of consensus within one shard. Finally, the simulation results show that the TV-BRAFT not only guarantees the fairness of incentives but is also better than the Raft and PBFT algorithms in efficiency and throughput.

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