【Author】
Bala, R.; Manoharan, R.
【Source】JOURNAL OF SUPERCOMPUTING
【Abstract】Blockchain technology with its inherent security features revolutionizes the field of distributed networks and has become one of the significant areas of research. To preserve the security features and to maintain its global state, consensus mechanisms are very essential and are performed by a set of peers in the underlying network called miners. Therefore, the miners need to be a trusted entity and their trustworthiness plays a vital role in preserving the security of the asset ledger. To ensure trusted nodes perform the consensus process, fuzzy-based trust models are robust and effective. Therefore, fuzzy inference system-based trusted consensus mechanism (FISTCON) is proposed as an effective security solution resulting in a fast and secure consensus process. The proposed scheme works in two phases. In phase 1, a fuzzy-based trust model that includes transaction history and trust feedback (F-THTF trust model) to identify trusted miners for consensus is proposed. In phase 2, a fuzzy-based effective practical byzantine fault tolerance (F-EpBFT) consensus protocol with an optimized broadcasting mechanism to decrease the communication overhead is proposed. The proposed work is implemented in the Hyperledger fabric framework, and the outcomes are thoroughly analyzed to prove the efficiency of the proposed scheme in a variety of scenarios.
【Keywords】Blockchain; Fuzzy inference system; Trust model; Consensus; Hyperledger fabric
【摘要】区块链技术以其固有的安全特性彻底改变了分布式网络领域，并已成为重要的研究领域之一。为了保留安全功能并维护其全局状态，共识机制非常重要，并且由底层网络中称为矿工的一组对等方执行。因此，矿工需要成为一个受信任的实体，他们的可信赖性对维护资产账本的安全性起着至关重要的作用。为了确保受信任的节点执行共识过程，基于模糊的信任模型是健壮和有效的。因此，提出了基于模糊推理系统的可信共识机制（FISTCON）作为一种有效的安全解决方案，从而实现快速和安全的共识过程。提议的方案分两个阶段进行。在第一阶段，提出了一种基于模糊的信任模型，包括交易历史和信任反馈（F-THTF 信任模型）来识别可信矿工以达成共识。在第二阶段，提出了一种基于模糊的有效实用拜占庭容错（F-EpBFT）共识协议，该协议具有优化的广播机制，以减少通信开销。提议的工作在 Hyperledger Fabric 框架中实施，并对结果进行了彻底的分析，以证明提议的方案在各种场景中的效率。
【关键词】区块链；模糊推理系统；信任模型；共识;超级账本结构
【文献类型】Article; Early Access
评论