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一种基于区块链的群智网络框架 被引量:3

A Blockchain-Based Framework for Crowd Intelligence
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摘要 现有基于区块链的群体智能网络框架存在通用性与扩展性低、集中处理数据导致延时大等不足.本文提出了一种新的基于区块链的通用群体智能网络框架,不同于最近被提出的各类基于区块链面向特定应用的众包方案,这是一种为了提高基于区块链的群体智能应用构造效率,所设计的通用群体智能框架.不设全局智能合约,避免全局控制结构,从而提高框架的横向扩展性,并且提供了一个具体的设计实现方案.将边缘计算引入群智网络框架,利用各类智能设备作为边缘处理节点,为群智网络提供边缘数据处理能力,设计专门智能合约实现边缘数据处理跟踪管理机制,达到降低任务延时的目的.分析了框架的安全性,对框架所包含的智能合约进行了详细设计,通过Solidity对所提三种智能合约进行仿真与测试,表明本文提出的框架是可行的. The existing blockchain-based crowd intelligence framework has some shortcomings,such as low generality and scalability,and large task delay caused by centralized data processing.A new general blockchain-based framework for crowd intelligence is proposed,which is different from the recently proposed blockchain-based crowdsourcing schemes for specific applications.This framework is designed to improve the construction efficiency of blockchain-based crowd intelligence applications.Without global smart contract,the global control structure is avoided,which improves the horizontal scalability of the framework,and provides a specific design scheme.Edge computing is introduced into the framework of crowd intelligence.Various intelligent devices are used as edge processing nodes to provide edge data processing capability for crowd intelligence network.A special smart contract is designed to realize tracking and management mechanism of edge data processing to reduce task delay.The security of the framework is analyzed,and the smart contract contained in the framework is designed in detail.Implementation of these smart contracts on Ethereum public test network is conducted.The experimental results show the usability of the proposed framework.
作者 张明瑞 王涛 杨波 ZHANG Ming-Rui;WANG Tao;YANG Bo(School of Computer Science,Shaanxi Normal University,Xi’an 710119,China)
出处 《密码学报》 CSCD 2021年第2期248-259,共12页 Journal of Cryptologic Research
基金 国家自然科学基金委员会-广东联合基金重点项目(U2001205) 中央高校科研业务费项目(GK202007031) 国家重点研发计划(2017YFB0802000) 国家自然科学基金(61572303,61772326,61802241,61802242) “十三五”国家密码发展基金(MMJJ20180217)。
关键词 区块链 群体智能 群智网络 智能合约 blockchain crowd intelligence crowd intelligence network smart constant
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