Evidence map›Paper›PMID 39379432›Full record

ArticleScientific reports2024

A secure healthcare data sharing scheme based on two-dimensional chaotic mapping and blockchain.

Zhigang Xu, Enda Zheng, Hongmu Han, Xinhua Dong, Xiaohong Dang, Zhongpeng Wang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Zhigang XuSchool of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Enda ZhengSchool of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Hongmu HanSchool of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China. hanhongmu@hbut.edu.cn.
Xinhua DongSchool of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Xiaohong DangSchool of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Zhongpeng WangSchool of Computer Science, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.

Funding

Innovation Fund of Hubei University of Technology BSQD2019027Key-Area Research and Development Program of Guangdong Province 2020B1111420002Key-Area Research and Development Program of Hubei Province 2022BAA040Science and Technology Project of Department of Transport of Hubei Province 2022-11-4-3
6 · The paper itself

Abstract

Enhancing data privacy security in medical data sharing is crucial for the informatization development in the healthcare sector. This paper proposes a healthcare data sharing scheme based on two-dimensional chaotic mapping and blockchain (2DCM-DS). Specifically, a new two-dimensional chaotic mapping is proposed, which demonstrates superior chaotic performance. Then, by incorporating biometric audio information as an identity credential and integrating it with the proposed two-dimensional chaotic mapping, we design a data encryption method that establishes a strongly coupled and bi-directionally verifiable data ownership relationship in healthcare data sharing. Finally, we employ blockchain as the underlying network and design corresponding smart contracts to support 2DCM-DS. This approach addresses potential issues of unauthorized access, malicious tampering, and single points of failure in centralized data sharing. Experimental results demonstrate that 2DCM-DS effectively protects data security under the specified attack models. The results validate the security and efficiency of the 2DCM-DS, proving its application potential in healthcare insurance data sharing scenarios.

Indexed as

BlockchainMedical data sharingPrivacySmart contractsTwo-dimensional chaotic mapping

Identifiers

PMID39379432
PMCPMC11461618

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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.