FVP-EOC: Fair, Verifiable, and Privacy-Preserving Edge Outsourcing Computing in 5G-Enabled IIoT

【Author】 Li, Ta; Tian, Youliang; Xiong, Jinbo; Bhuiyan, Md Zakirul Alam

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】The 5G-enabled Industrial Internet of Things tilts the data processing model from the cloud to the edge. Users are more inclined to get feedback and data analysis of outsourcing computing results timely from the edge. However, the existing solutions undermine the fairness of multitask outsourcing in edge environment and cannot guarantee the correctness of results. To tackle these challenges, in this article, we propose a fair, verifiable, and privacy-preserving edge outsourcing computing scheme based on blockchain (FVP-EOC). Initially, we propose a task bidding method in the same round of task outsourcing, which improves the utilization of resources and the fairness of the FVP-EOC by dividing tasks into blocks. Furthermore, we design a result verification algorithm and a consensus algorithm to ensure the correctness of the results without a trusted third party. Finally, theoretical analysis and ample simulations indicate that the FVP-EOC is secure and verifiable and ensure the benefits of all the participants in edge outsourcing computing.

【Keywords】Outsourcing; Task analysis; Blockchains; Calculators; Security; Industrial Internet of Things; Computational modeling; Blockchain; edge; fairness; Industrial Internet of Things (IIoT); outsourcing computing

【发表时间】2023 JAN

【收录时间】2022-11-30

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-边缘计算