首页|ICN网络基于智能合约的节点贡献度计量方法

ICN网络基于智能合约的节点贡献度计量方法

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闲置带宽资源广泛分布于不同互联网用户间,利用闲置带宽可以提高网络资源利用率,改善服务质量,有利于构建双赢的局面.用户贡献了自己的闲置资源,需要根据用户的实际贡献进行奖励分发,因此需要对用户的网络贡献度进行准确计量.目前一些网络贡献计量方法难以对节点的实际转发工作量生成可验证的证明,而生成相应证明的方法开销过于巨大.本文提出在信息中心网络(ICN)和区块链的融合架构下利用用户的闲置带宽进行报文转发,并基于协同验证的思想设计一种分布式网络贡献度计量方法.具体而言,通过网内可信设备建立/释放"计量会话",基于传输路径元数据生成会话标签,区块链上运行的智能合约负责会话管理和贡献度计量.实验结果表明,相比于现有方法,该方法生成流量转发证明的同时显著降低了方法所需的加解密次数,额外的证明信息开销减少了 33%.
Node Contribution Measurement Method Based on Smart Contracts in ICN
Idle bandwidth resources are widely distributed among different Internet users.Using idle bandwidth can improve the utiliza-tion of network resources,improve the quality of service,and help build a win-win situation.Users contribute their idle resources and need to be rewarded based on their actual contributions.Therefore,it is necessary to accurately measure the network contribution of us-ers.Currently,some network contribution measurement methods are difficult to generate verifiable proofs for the actual forwarding workload of nodes,and the cost of generating corresponding proofs is too high.This article proposes to use user idle bandwidth for packet forwarding under the fusion architecture of Information Central Networking(ICN)and blockchain.Based on the idea of collabo-rative verification,a distributed network contribution measurement method is designed.Specifically,a"measurement session"is es-tablished/released through trusted devices in the network,session labels are generated based on transmission path metadata,and smart contracts running on the blockchain are responsible for session management and contribution measurement.The experimental results show that compared to existing methods,this method significantly reduces the required times of encryption and decryption while genera-ting traffic forwarding proofs,and reduces the additional proof information cost by 33%.

ICNblockchainsmart contractsmultipoint collaborationproof of forwarding

刘强、韩锐

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中国科学院声学研究所 国家网络新媒体工程技术研究中心 北京 100190

中国科学院大学 北京 100049

信息中心网络 区块链 智能合约 多点协作 转发证明

中国科学院声学研究所目标导向类项目

MBDX202114

2024

网络新媒体技术
中国科学院声学研究所

网络新媒体技术

CSTPCD
影响因子:0.208
ISSN:2095-347X
年,卷(期):2024.13(4)
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