Evidence map›Paper›PMID 36797342›Full record

ArticleScientific reports2023

Data storage mechanism of industrial IoT based on LRC sharding blockchain.

Yongjun Ren, Xinyu Liu, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Shenqing Wang, Jin Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. 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. Review
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

7 authors.

Yongjun RenEngineering Research Center of Digital Forensics, Ministry of Education, School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Xinyu LiuEngineering Research Center of Digital Forensics, Ministry of Education, School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Pradip Kumar SharmaDepartment of Computing Science, University of Aberdeen, Aberdeen, AB24 3FX, UK.
Osama AlfarrajComputer Science Department, Community College, King Saud University, Riyadh, 11437, Saudi Arabia.
Amr TolbaComputer Science Department, Community College, King Saud University, Riyadh, 11437, Saudi Arabia.
Shenqing WangCollege of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Jin WangSchool of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410114, China. jinwang@csust.edu.cn.

Funding

National Natural Science Foundation of China 62072056National Natural Science Foundation of China 62072249National Science Foundation of Hunan Province 2022JJ2029
6 · The paper itself

Abstract

With the rapid development of Industry 4.0, the data security of Industrial Internet of Things in the Industry 4.0 environment has received widespread attention. Blockchain has the characteristics of decentralization and tamper-proof. Therefore, it has a natural advantage in solving the data security problem of Industrial Internet of Things. However, current blockchain technologies face challenges in providing consistency, scalability and data security at the same time in Industrial Internet of Things. To address the scalability problem and data security problem of Industrial Internet of Things, this paper constructs a highly scalable data storage mechanism for Industrial Internet of Things based on coded sharding blockchain. The mechanism uses coded sharding technology for data processing to improve the fault tolerance and storage load of the blockchain to solve the scalability problem. Then a cryptographic accumulator-based data storage scheme is designed which connects the cryptographic accumulator with the sharding nodes to save storage overhead and solve the security problem of data storage and verification. Finally, the scheme is proved to be security and the performance of the scheme is evaluated.

Identifiers

PMID36797342
PMCPMC9935864

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Registered trials

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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.