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基于可验证延迟函数的Hyperledger Fabric背书策略优化方案

陈楠^1,2, 周赵斌^1,2, 陈志德^1,2

(1.福建师范大学计算机与网络空间安全学院, 福州 350007;2.福建省网络安全与密码技术重点实验室(福建师范大学), 福州 350007)

Optimization Scheme of Hyperledger Fabric Endorsement Policy Based on Verifiable Delay Function

CHEN Nan^1,2, ZHOU Zhao-Bin^1,2, CHEN Zhi-De^1,2

(1.College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China;2.Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China)

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本文已被：浏览 717次下载 2015次
Received:March 17, 2022 Revised:April 14, 2022

中文摘要: 为了解决Hyperledger Fabric使用固定背书节点进行背书而引发的安全问题, 提出了一种基于可验证延迟函数的Hyperledger Fabric背书策略优化方案. 利用可验证延迟函数不可并行计算以及可高效验证的特点, 设计了匿名化、随机化选取背书节点的Fabric交易模型, 增强了Fabric交易背书的安全性. 通过实验对比优化方案与原始方案, 验证了优化方案在增强安全性的同时, 在效率上也有一定的提升.

中文关键词: Hyperledger Fabric 背书策略可验证延迟函数交易模型

Abstract:To solve the security problem of Hyperledger Fabric caused by the use of fixed endorsement nodes for endorsement, this study proposes an optimization scheme based on a verifiable delay function for the endorsement policy of Hyperledger Fabric. Considering that the verifiable delay function cannot be calculated in parallel but can be efficiently verified, a Fabric transaction model that anonymously and randomly selects endorsement nodes is designed to enhance the security of Fabric transaction endorsement. The experimental comparison between the optimized scheme and the original one verifies that the optimized scheme not only enhances security but also improves efficiency.

keywords: Hyperledger Fabric endorsement policy verifiable delay function transaction model

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基金项目:福建省自然科学基金(2020J01171); 国家自然科学基金(61841701)

引用文本：
陈楠,周赵斌,陈志德.基于可验证延迟函数的Hyperledger Fabric背书策略优化方案.计算机系统应用,2022,31(12):87-94
CHEN Nan,ZHOU Zhao-Bin,CHEN Zhi-De.Optimization Scheme of Hyperledger Fabric Endorsement Policy Based on Verifiable Delay Function.COMPUTER SYSTEMS APPLICATIONS,2022,31(12):87-94

Author Name	Affiliation	E-mail
CHEN Nan	College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China
ZHOU Zhao-Bin	College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China	1334672047@qq.com
CHEN Zhi-De	College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China

Author Name	Affiliation	E-mail
CHEN Nan	College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China
ZHOU Zhao-Bin	College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China	1334672047@qq.com
CHEN Zhi-De	College of Computer and Cyberspace Security, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory of Network Security and Cryptology (Fujian Normal University), Fuzhou 350007, China