4.8 Article

A Privacy-Preserving Storage Scheme for Logistics Data With Assistance of Blockchain

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 6, Pages 4704-4720

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3107846

Keywords

Logistics; Blockchains; Internet of Things; Data privacy; Security; Cloud computing; Temperature distribution; Blockchain; consensus mechanism; logistics data; secure storage; smart logistics

Funding

  1. China Natural Science Funding [61873160]
  2. Natural Science Foundation of Shanghai [21ZR1426500]

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In this study, a blockchain-assisted secure storage scheme is proposed for logistics data protection. The scheme utilizes a blockchain network to provide reliable storage interfaces and introduces an efficient consensus mechanism to improve the efficiency of the consensus process. Experimental results indicate that the performance of the scheme is acceptable.
In recent years, traditional logistics systems are developing toward intelligence based on the Internet of Things (IoT). Sensing devices throughout the logistics network provide strong support for smart logistics. However, due to the insufficient local computing and storage resources of IoT devices, logistics records with sensitive information are generally stored in a centralized cloud center, which could easily cause privacy leakage. In this study, we propose a blockchain-assisted secure storage scheme for logistics data. To be specific, this scheme can be briefly divided into two parts. The first part involves data generation and aggregation, session establishing, records encryption and storage, wherein a blockchain network is used to assist the cloud server with data storage, and smart contracts are deployed to provide reliable storage interfaces. In the second part, an efficient consensus mechanism is introduced to improve the efficiency of the consensus process. Also, the stored records can be securely audited by leveraging the deployed blockchain network. Finally, we analyze the security and privacy properties of this scheme and evaluate its performance in terms of computation and communication overhead by developing an experimental platform. The experimental results indicate that the performance of our scheme is acceptable.

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