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用于保障边缘物联网安全的超级账本织物区块链

Hyperledger Fabric Blockchain for Securing the Edge Internet of Things.

作者信息

Honar Pajooh Houshyar, Rashid Mohammad, Alam Fakhrul, Demidenko Serge

机构信息

Department of Mechanical and Electrical Engineering, Massey University, Auckland 0632, New Zealand.

School of Science and Technology, Sunway University, Subang Jaya 47500, Malaysia.

出版信息

Sensors (Basel). 2021 Jan 7;21(2):359. doi: 10.3390/s21020359.

Abstract

Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge. Blockchain technology, as a distributed and decentralized ledger, is a potential solution to tackle the limitations of the current peer-to-peer IoT networks. This paper presents the development of an integrated IoT system implementing the permissioned blockchain Hyperledger Fabric (HLF) to secure the edge computing devices by employing a local authentication process. In addition, the proposed model provides traceability for the data generated by the IoT devices. The presented solution also addresses the IoT systems' scalability challenges, the processing power and storage issues of the IoT edge devices in the blockchain network. A set of built-in queries is leveraged by smart-contracts technology to define the rules and conditions. The paper validates the performance of the proposed model with practical implementation by measuring performance metrics such as transaction throughput and latency, resource consumption, and network use. The results show that the proposed platform with the HLF implementation is promising for the security of resource-constrained IoT devices and is scalable for deployment in various IoT scenarios.

摘要

在满足最低性能要求的同时为物联网(IoT)网络提供安全性和隐私性是一项开放的研究挑战。区块链技术作为一种分布式和去中心化的账本,是解决当前对等物联网网络局限性的潜在解决方案。本文介绍了一个集成物联网系统的开发,该系统实现了许可区块链超级账本织物(HLF),通过采用本地认证过程来保护边缘计算设备。此外,所提出的模型为物联网设备生成的数据提供可追溯性。所提出的解决方案还解决了物联网系统的可扩展性挑战、区块链网络中物联网边缘设备的处理能力和存储问题。智能合约技术利用一组内置查询来定义规则和条件。本文通过测量交易吞吐量和延迟、资源消耗和网络使用等性能指标,通过实际实现验证了所提出模型的性能。结果表明,所提出的具有HLF实现的平台对于资源受限的物联网设备的安全性很有前景,并且可扩展用于在各种物联网场景中部署。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/744b/7825674/d417dcba394f/sensors-21-00359-g001.jpg

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