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区块链赋能车联网的数据安全。

Blockchain enabled data security in vehicular networks.

机构信息

COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.

OTEHM, Manchester Metropolitan University, Manchester, UK.

出版信息

Sci Rep. 2023 Mar 17;13(1):4412. doi: 10.1038/s41598-023-31442-w.

DOI:10.1038/s41598-023-31442-w
PMID:36932131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10023690/
Abstract

Recently, researchers have applied blockchain technology in vehicular networks to take benefit of its security features, such as confidentiality, authenticity, immutability, integrity, and non-repudiation. The resource-intensive nature of the blockchain consensus algorithm makes it a challenge to integrate it with vehicular networks due to the time-sensitive message dissemination requirements. Moreover, most of the researchers have used the Proof-of-Work consensus algorithm, or its variant to add a block to a blockchain, which is a highly resource-intensive process with greater latency. In this paper, we propose a consensus algorithm for vehicular networks named as Vehicular network Based Consensus Algorithm (VBCA) to ensure data security across the network using blockchain that maintains a secured pool of confirmed messages exchanged in the network. The proposed scheme, based on a consortium blockchain, reduces average transaction latency, and increases the number of confirmed transactions in a decentralized manner, without compromising the integrity and security of data. The simulation results show improved performance in terms of confirmed transactions, transaction latency, number of blocks, and block creation time.

摘要

最近,研究人员将区块链技术应用于车联网中,以利用其安全特性,如保密性、真实性、不可篡改性、完整性和不可否认性。区块链共识算法的资源密集型特性使得它很难与车联网集成,因为车联网需要实时敏感的消息分发要求。此外,大多数研究人员都使用工作量证明共识算法或其变体来向区块链添加一个块,这是一个资源密集型的过程,具有更大的延迟。在本文中,我们提出了一种名为基于车联网的共识算法(Vehicular network Based Consensus Algorithm,VBCA)的共识算法,该算法使用区块链确保网络中的数据安全,同时维护网络中交换的已确认消息的安全池。该方案基于联盟区块链,以去中心化的方式降低了平均事务延迟,增加了确认事务的数量,同时不损害数据的完整性和安全性。仿真结果表明,在确认事务、事务延迟、块数和块创建时间方面都有了改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/62275716a975/41598_2023_31442_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/8bc17dfd3ac8/41598_2023_31442_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/948a9ba49e48/41598_2023_31442_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/9b90c60cff48/41598_2023_31442_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/181d7b197e45/41598_2023_31442_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/294d6e12144b/41598_2023_31442_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/a8a5e506750c/41598_2023_31442_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/7176fdcd4571/41598_2023_31442_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/82f3b4213f9f/41598_2023_31442_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/62275716a975/41598_2023_31442_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/8bc17dfd3ac8/41598_2023_31442_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/948a9ba49e48/41598_2023_31442_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/9b90c60cff48/41598_2023_31442_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/181d7b197e45/41598_2023_31442_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/294d6e12144b/41598_2023_31442_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/a8a5e506750c/41598_2023_31442_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/7176fdcd4571/41598_2023_31442_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/82f3b4213f9f/41598_2023_31442_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1726/10023690/62275716a975/41598_2023_31442_Fig9_HTML.jpg

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