Distributed computing power trading scheme based on trustworthiness assessment

WANG Yingxiaochun; WANG Lianhai; XU Shujiang; ZHANG Shuhui; LIU Tianrui

doi:10.11959/j.issn.2096-109x.2025008

您当前的位置：

首页 >

文章列表页 >

Distributed computing power trading scheme based on trustworthiness assessment

Papers | 更新时间：2025-03-20

- Distributed computing power trading scheme based on trustworthiness assessment
- Chinese Journal of Network and Information Security Vol. 11, Issue 1, Pages: 79-91(2025)
- 作者机构：
  
  1.齐鲁工业大学（山东省科学院），山东省计算中心（国家超级计算济南中心），算力互联网与信息安全教育部重点实验室，山东济南 250014
  2.山东省工业网络和信息系统安全重点实验室，山东省基础科学研究中心（计算机科学），山东济南 250014
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62102209);The National Key Research and Development Program of China(2023YFC3304903);The New 20 Project of Higher Education of Jinan, China(202228017);Taishan Scholars Program(tsqn202312231);Natural Science Foundation of Shandong Provincial(ZR2024MF104;ZR2023QF129);The Pilot Project for Integrated Innovation of Science, Education, and Industry of Qilu University of Technology(2024ZDZX08);Talent Project of Qilu University of Technology(2023RCKY144)
- DOI：10.11959/j.issn.2096-109x.2025008
  CLC： TP393
- Received：28 March 2024，
  
  Revised：2024-09-26，
  
  Published：25 February 2025
- 稿件说明：
移动端阅览
王英晓春, 王连海, 徐淑奖, 等. 基于信任度评估的分布式算力交易方案[J]. 网络与信息安全学报, 2025, 11(1): 79-91.

WANG Y X C, WANG L H, XU S J, et al. Distributed computing power trading scheme based on trustworthiness assessment[J]. Chinese Journal of Network and Information Security, 2025, 11(1): 79-91.
王英晓春, 王连海, 徐淑奖, 等. 基于信任度评估的分布式算力交易方案[J]. 网络与信息安全学报, 2025, 11(1): 79-91. DOI： 10.11959/j.issn.2096-109x.2025008.

WANG Y X C, WANG L H, XU S J, et al. Distributed computing power trading scheme based on trustworthiness assessment[J]. Chinese Journal of Network and Information Security, 2025, 11(1): 79-91. DOI： 10.11959/j.issn.2096-109x.2025008.

摘要

算力网络主要通过连接和整合分布式的异构计算节点，实现网络和计算资源的优化及高效利用。在算力网络中，节点因自身资源受限，通常需要以交易形式请求其他节点的计算资源来完成计算任务，引入信任度评估机制可以有效解决泛在异构节点所引起的节点可信度不高问题。然而，现有的算力交易方案虽然将信誉作为选择交易方的重要依据，但通常会选择信誉最高的节点，导致新加入节点在算力交易中无法享有公平参与交易的机会，且由于交易环境不可信，节点很难评估交易反馈的可信度。为了解决上述问题，提出了基于信任度评估的分布式算力交易方案，通过智能合约对满足算力需求的计算节点实施自动化的信任度评估，生成信任度降序列表，基于随机选择算法从信任度高于一定阈值的节点中选定交易方，以保证资源选择的随机性，有效防止合谋攻击。同时，利用适应性函数动态调整直接信任和间接信任的权重，以跟踪计算节点的行为变化。此外，借助区块链技术，设计了一种衡量反馈可靠性的方法，以减少因不可信节点提交恶意评分所造成的评估结果偏差。最后，通过实验证明了所提方案在识别恶意评分和降低恶意行为影响方面的有效性。

Abstract

The computing power network was primarily designed to optimize and efficiently utilize network and computing resources by connecting and integrating distributed heterogeneous computing nodes. Within this network

nodes frequently required computing resources from other nodes through trading mechanisms due to their limited local resources. The introduction of a trust evaluation mechanism effectively addressed the issue of low trustworthiness among ubiquitous heterogeneous nodes. However

existing computing power trading schemes

which relied on reputation as a key criterion for selecting trading partners

typically favored nodes with the highest reputation. This approach resulted in newly joined nodes being unable to participate fairly in computing power trading

and the untrustworthy trading environment made it difficult for nodes to assess the credibility of trading feedback. To address these challenges

a distributed computing power trading scheme based on trust evaluation was proposed. In this scheme

the trust evaluation of computing nodes meeting the computing power requirements was automated through smart contracts

generating a trust list sorted in descending order. A random selection algorithm was utilized to choose trading partners from nodes with trust levels above a predefined threshold

ensuring randomness in resource selection and effectively mitigating collusion attacks. Additionally

an adaptive function was employed to dynamically adjust the weights of direct and indirect trust

enabling the tracking of behavioral changes in computing nodes. Furthermore

a method for measuring feedback reliability was designed using blockchain technology to reduce the bias in evaluation results caused by untrustworthy nodes submitting malicious ratings. Finally

experimental results demonstrated that the proposed scheme effectively identified malicious ratings and reduced the impact of malicious behaviors. The scheme is shown to ensure fair participation in trading for newly joined nodes while enhancing the reliability of trading feedback.

关键词

Keywords

references

LUO Q Y , HU S H , LI C L , et al . Resource scheduling in edge computing: a survey [J ] . IEEE Communications Surveys & Tutorials , 2021 , 23 ( 4 ): 2131 - 2165 .

贾庆民 , 丁瑞 , 刘辉 , 等 . 算力网络研究进展综述 [J ] . 网络与信息安全学报 , 2021 , 7 ( 5 ): 1 - 12 .

JIA Q M , DING R , LIU H , et al . Survey on research progress for compute first networking [J ] . Chinese Journal of Network and Information Security , 2021 , 7 ( 5 ): 1 - 12 .

LIU Y J , WANG J , YAN Z , et al . A survey on blockchain-based trust management for internet of things [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 7 ): 5898 - 5922 .

曾诗钦 , 霍如 , 黄韬 , 等 . 区块链技术研究综述: 原理, 进展与应用 [J ] . 通信学报 , 2020 , 41 ( 1 ): 134 - 151 .

ZENG S Q , HUO R , HUANG T , et al . A review of blockchain technology: principles, progress and applications [J ] . Journal on Communications , 2020 , 41 ( 1 ): 134 - 151 .

ANDONI M , ROBU V , FLYNN D , et al . Blockchain technology in the energy sector: a systematic review of challenges and opportunities [J ] . Renewable and Sustainable Energy Reviews , 2019 , 100 : 143 - 174 .

REN X , QIU C , WANG X , et al . AI-bazaar: A cloud-edge computing power trading framework for ubiquitous AI services [J ] . IEEE Transactions on Cloud Computing , 2022 , 11 ( 3 ): 2337 - 2348 .

吕航 , 李佳聪 , 雷波 , 等 . 基于智能合约与区块链的算力交易机制 [J ] . 中兴通讯技术 , 2022 , 28 ( 4 ): 52 - 57 .

LYU H , LI J C , LEI B , et al . Computing power trading mechanism based on smart contract and blockchain [J ] . ZTE Technology Journal , 2022 , 28 ( 4 ): 52 - 57 .

WANG D , DU X , ZHANG H , et al . Blockchain enabled credible computing resource sharing: a multi-leader multi-follower stackelberg game approach [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 9 ): 13839 - 13852 .

LIN X , WU J , MUMTAZ S , et al . Blockchain-based on-demand computing resource trading in IoV-assisted smart city [J ] . IEEE Transactions on Emerging Topics in Computing , 2020 , 9 ( 3 ): 1373 - 1385 .

雷波 , 陈运清 , 王旭亮 , 等 . 边缘计算与算力网络——5G+ AI 时代的新型算力平台与网络连接 [M ] . 北京 : 电子工业出版社 , 2020 .

LEI B , CHEN Y Q , WANG X L , et al . Edge computing and arithmetic networking : a new arithmetic platform and network connectivity in the 5G+ AI era [M ] . Beijing : Publishing House of Electronics Industry , 2020 .

ZHANG M W , YANG M X , SHEN G , et al . A verifiable and privacy-preserving cloud mining pool selection scheme in blockchain of things [J ] . Information Sciences , 2023 , 623 : 293 - 310 .

KWANTWI T , SUN G L , KUADEY N A E , et al . Blockchain-based computing resource trading in autonomous multi-access edge network slicing: a dueling double deep Q-learning approach [J ] . IEEE Transactions on Network and Service Management , 2023 , 20 ( 3 ): 2912 - 2928 .

王贺立 , 闫巧 . 基于交易记录特征的自私挖矿检测方案 [J ] . 网络与信息安全学报 , 2023 , 9 ( 2 ): 104 - 114 .

WANG H L , YAN Q . A selfish mining detection scheme based on transaction record features [J ] . Chinese Journal of Network and Information Security , 2023 , 9 ( 2 ): 104 - 114 .

WU X H , YU F J , WANG J , et al . BPF-payment: fair payment for cloud computing with privacy based on blockchain and homomorphic encryption [J ] . Peer-to-Peer Networking and Applications , 2023 , 16 ( 5 ): 2649 - 2666 .

LI Z N , YANG Z Y , XIE S L , et al . Credit-based payments for fast computing resource trading in edge-assisted internet of things [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 4 ): 6606 - 6617 .

FAN S Z , ZHANG H B , ZENG Y C , et al . Hybrid blockchain-based resource trading system for federated learning in edge computing [J ] . IEEE Internet of Things Journal , 2020 , 8 ( 4 ): 2252 - 2264 .

余佳仁 , 田有亮 , 林晖 . 基于信誉管理模型的矿工类型鉴别机制设计 [J ] . 网络与信息安全学报 , 2022 , 8 ( 1 ): 128 - 138 .

YU J R , TIAN Y L , LIN H . Design of miner type identification mechanism based on reputation management model [J ] . Chinese Journal of Network and Information Security , 2022 , 8 ( 1 ): 128 - 138 .

CHENG H J , HU Q H , ZHANG X Q , et al . Trusted resource allocation based on smart contracts for blockchain-enabled internet of things [J ] . IEEE Internet of Things Journal , 2021 , 9 ( 11 ): 7904 - 7915 .

温瑶 , 陆晶晶 , 卢华 , 等 . 融合区块链的算力网络信任评估与保障方案研究 [J ] . 南京邮电大学学报(自然科学版) , 2021 , 41 ( 4 ): 99 - 106 .

WEN Y , LU J J , LU H , et al . Research on trust assessment and guarantee scheme for arithmetic network integrating blockchain [J ] . Journal of Nanjing University of Posts and Telecommunications(Natural Science Edition) , 2021 , 41 ( 4 ): 99 - 106 .

LU Z J , QU G , LIU Z L . A survey on recent advances in vehicular network security, trust, and privacy [J ] . IEEE Transactions on Intelligent Transportation Systems , 2018 , 20 ( 2 ): 760 - 776 .

SAIED Y B , OLIVEREAU A , ZEGHLACHE D , et al . Trust management system design for the internet of things: a context-aware and multi-service approach [J ] . Computers & Security , 2013 , 39 : 351 - 365 .

AWAN K A , DIN I U , ALMOGREN A , et al . NeuroTrust: artificial-neural-network-based intelligent trust management mechanism for large-scale internet of medical things [J ] . IEEE Internet of Things Journal , 2020 , 8 ( 21 ): 15672 - 15682 .

XIONG L , LIU L . PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities [J ] . IEEE transactions on Knowledge and Data Engineering , 2004 , 16 ( 7 ): 843 - 857 .

BHATTACHARJEE S , MADHAVARAPU V P K , SILVESTRI S , et al . Attack context embedded data driven trust diagnostics in smart metering infrastructure [J ] . ACM Transactions on Privacy and Security(TOPS) , 2021 , 24 ( 2 ): 1 - 36 .

LE V T , EL IOINI N , BARZEGAR H R , et al . Trust management for service migration in multi-access edge computing environments [J ] . Computer Communications , 2022 , 194 : 167 - 179 .

REN J Y , QIN T F . A novel multidimensional trust evaluation and fusion mechanism in fog-based internet of things [J ] . Computer Networks , 2022 , 217 : 109354 .

MOUSTAFA A , ZHANG M J , BAI Q . Trustworthy stigmergic service compositionand adaptation in decentralized environments [J ] . IEEE Transactions on services computing , 2014 , 9 ( 2 ): 317 - 329 .

杨明 , 胡学先 , 张启慧 , 等 . 基于信誉评估机制和区块链的移动网络联邦学习方案 [J ] . 网络与信息安全学报 , 2021 , 7 ( 6 ): 99 - 112 .

YANG M , HU X X , ZHANG Q H , et al . A mobile network federalism scheme based on reputation assessment mechanism and blockchain [J ] . Chinese Journal of Network and Information Security , 2021 , 7 ( 6 ): 99 - 112 .

HUANG C Y , WANG Z Y , CHEN H X , et al . REPChain:a reputation-based secure, fast, and high incentive blockchain system via sharding [J ] . IEEE Internet of Things Journal , 2020 , 8 ( 6 ): 4291 - 4304 .

AL-KHAFAJIY M , BAKER T , ASIM M , et al . COMITMENT: a fog computing trust management approach [J ] . Journal of Parallel and Distributed Computing , 2020 , 137 : 1 - 16 .

KOUICEM D E , IMINE Y , BOUABDALLAH A , et al . Decentralized blockchain-based trust management protocol for the internet of things [J ] . IEEE Transactions on Dependable and Secure Computing , 2020 , 19 ( 2 ): 1292 - 1306 .

LIU H , HAN D Z , LI D . Behavior analysis and blockchain based trust management in vanets [J ] . Journal of Parallel and Distributed Computing , 2021 , 151 : 61 - 69 .

KUDVA S , BADSHA S , SENGUPTA S , et al . A scalable blockchain based trust management in VANET routing protocol [J ] . Journal of Parallel and Distributed Computing , 2021 , 152 : 144 - 156 .

LIU Y , ZHANG C , YAN Y , et al . A semi-centralized trust management model based on blockchain for data exchange in IoT system [J ] . IEEE Transactions on Services Computing , 2022 , 16 ( 2 ): 858 - 871 .

DU G X , CAO Y J , LI J , et al . A blockchain-based trust-value management approach for secure information sharing in internet of vehicles [J ] . IEEE Internet of Things Journal , 2023 , 11 ( 1 ): 333 - 344 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on the incentive mechanism of trusted transactions based on blockchain

Ring adaptor signature scheme based on SM2 digital signature algorithm

Survey of decentralized public key infrastructure

Chameleon hash function based on SM3 and its applications

Blockchain smart contract vulnerability detection based on GR algorithm

Related Author

ZHANG Guiyu

LIU Bowen

LIANG Xiaochen

ZHANG Xiaoyan

LYU Chengjin

YU Sijia

LI Shuo

Xu Xinyue

Related Institution

China Information Technology Designing Consulting Institute Co., Ltd.

Stale Key Laboratory of Networking and Switching Technology， Beijing University of Posts and Telecommunications

Shandong Provincial Key Laboratory of Industrial Network and Information System Security, Shandong Fundamental Research Center for Computer Science

Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)

Shield Lab, Trustworthiness Lab, Huawei Technologies Co., Ltd.

⁰