基于信任度评估的分布式算力交易方案
Distributed computing power trading scheme based on trustworthiness assessment
摘要
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 net-work,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 trad-ing,and the untrustworthy trading environment made it difficult for nodes to assess the credibility of trading feed-back.To address these challenges,a distributed computing power trading scheme based on trust evaluation was pro-posed.In this scheme,the trust evaluation of computing nodes meeting the computing power requirements was au-tomated 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 random-ness in resource selection and effectively mitigating collusion attacks.Additionally,an adaptive function was em-ployed 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 technol-ogy to reduce the bias in evaluation results caused by untrustworthy nodes submitting malicious ratings.Finally,ex-perimental 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
算力网络/区块链/信任度评估/算力交易Key words
computing power network/blockchain/trust worthiness evaluation/computing power trading分类
计算机与自动化引用本文复制引用
王英晓春,王连海,徐淑奖,张淑慧,刘天瑞..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):79-91,13.基金项目
国家自然科学基金(62102209) （62102209）
国家重点研发计划(2023YFC3304903) （2023YFC3304903）
济南市"新高校20条"项目(202228017) （202228017）
泰山学者工程(tsqn202312231) （tsqn202312231）
山东省自然科学基金(ZR2024MF104,ZR2023QF129) （ZR2024MF104,ZR2023QF129）
齐鲁工业大学(山东省科学院)科教产融合试点工程重大创新类项目(2024ZDZX08) （山东省科学院）
齐鲁工业大学(山东省科学院)人才项目(2023RCKY144) The 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 In-tegrated Innovation of Science,Education,and Industry of Qilu University of Technology(Shandong Academy of Sciences)(2024ZDZX08),Talent Project of Qilu University of Technology(Shandong Academy of Sciences)(2023RCKY144) （山东省科学院）
