外包
正确性
可验证秘密共享
云计算
计算机科学
边缘计算
GSM演进的增强数据速率
任务(项目管理)
计算机安全
投标
方案(数学)
信息隐私
可信计算
分布式计算
计算机网络
操作系统
算法
业务
人工智能
工程类
数学
数学分析
集合(抽象数据类型)
系统工程
营销
程序设计语言
作者
Ta Li,Youliang Tian,Jinbo Xiong,Md. Zakirul Alam Bhuiyan
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:19 (1): 940-950
被引量:4
标识
DOI:10.1109/tii.2022.3179531
摘要
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.
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