Blockchain-based Secure Outsourcing Data Integrity Auditing for Internet of Things in Cloud-edge Environment

Yangfei Lin, Celimuge Wu, Yusheng Ji, Jie Li, Zhi Liu
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Abstract

Internet of Things enables devices to communicate, collect and exchange data with the network. As the number of IoT devices keeps growing, the volume of data they produce is also increasing exponentially. Given the feature of limited computing and storage resources of IoT, it is inevitable to store data in the cloud for better services. However, for users to effectively and efficiently inspect those data over the cloud is a critical and open problem. Most public integrity auditing over the cloud schemes requires the user to do a sheer amount of preprocessing work on the local devices, which is unsuitable for IoT devices. With the development of edge computing extending cloud computing, it can provide computing capability for resource-constrained devices in close geographic proximity. In this paper, we design an auditing scheme based on secure computation outsourcing assisted by edge computing, in which the data preprocessing work can be offloaded to the edge server. The experiments show that it reduces the computing load on the devices and improves the efficiency of task processing.
基于区块链的云边缘环境下物联网安全外包数据完整性审计
物联网使设备能够与网络进行通信、收集和交换数据。随着物联网设备数量的不断增长,它们产生的数据量也呈指数级增长。考虑到物联网计算和存储资源有限的特点,将数据存储在云中以获得更好的服务是必然的。然而,对于用户来说,有效和高效地检查云上的这些数据是一个关键和开放的问题。大多数基于云的公共完整性审计方案都需要用户在本地设备上进行大量的预处理工作,这并不适合物联网设备。随着边缘计算对云计算的扩展,它可以为地理位置接近的资源受限设备提供计算能力。本文设计了一种基于边缘计算辅助的安全计算外包的审计方案,该方案可以将数据预处理工作卸载到边缘服务器。实验表明,该方法降低了设备的计算负荷,提高了任务处理效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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