Evidence map›Paper›PMID 36433273›Full record

ArticleSensors (Basel, Switzerland)2022

A Blockchain-Based Product Traceability System with Off-Chain EPCIS and IoT Device Authentication.

Lulu Li, Huan Qu, Huaizhen Wang, Junyu Wang, Bozhi Wang, Wei Wang, Jinfei Xu, Zhihui Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lulu LiCollege of Computer Science and Technology, Fudan University, Shanghai 201203, China.
Huan QuCollege of Computer Science and Technology, Fudan University, Shanghai 201203, China.
Huaizhen WangState Key Laboratory of ASIC and System, Fudan University, Shanghai 201203, China.
Junyu WangZhuhai Fudan Innovation Institute, Zhuhai 518057, China.
Bozhi WangZhuhai Fudan Innovation Institute, Zhuhai 518057, China.
Wei WangCollege of Computer Science and Technology, Fudan University, Shanghai 201203, China.
Jinfei XuZhuhai Fudan Innovation Institute, Zhuhai 518057, China.ORCID 0000-0001-8899-6946
Zhihui WangCollege of Computer Science and Technology, Fudan University, Shanghai 201203, China.

Funding

Research and Development in key areas of Guangdong Province 2020B0101090001Science&Technology Commission of Shanghai Municipality 21511102200Scientific & Technological Innovation 2030- "New Generation AI"Key Project 2021ZD0114000,2021ZD0114001
6 · The paper itself

Abstract

Blockchain-based traceability systems are a promising approach because they are decentralized, transparent, and tamper proof; however, if all traceability data are uploaded to a blockchain platform, it may affect the efficiency or even lead to data explosion. Additionally, it is difficult to guarantee the reliability of the original data source of massive Internet of Things (IoT) devices. Furthermore, when different enterprise nodes adopt different data storage structures, the costs that are associated with data sharing will increase. In this paper, we have proposed a trustworthy product traceability system that is based on hyperledger fabric and Electronic Product Code Information Service (EPCIS), which is not only capable of making products traceable, but it can also authenticate and authorize the IoT devices that are used for data collection. First, we adopted the on-chain and off-chain collaborative management mechanism in order to alleviate data explosion on the chain. Second, we proposed a scheme to authenticate and authorize devices based on blockchain. Third, we complied with EPCIS and Core Business Vocabulary (CBV) standards and provided the EPCIS location discovery service in order to improve the interactivity. Finally, we implemented and tested the proposed traceability system and compared it with the existing research. The proposed solution provides product information traceability, data tamper proofing, data confidentiality, and data source reliability.

Indexed as

blockchaindata secure shareEPCIShyperledger fabricIoTproduct traceability

Identifiers

PMID36433273
PMCPMC9692360

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.