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

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-10-08
DOI
https://doi.org/10.1038/s41598-024-73554-x
Citations
12
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
9.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zhigang Xu, Hongmu Han, Zhongpeng Wang, Xiaohong Dang et al.
12 citations
Scientific Reports
Blockchain Technology Applications and Security
9.35
article

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

Zhigang Xu, Hongmu Han, Zhongpeng Wang, Xiaohong Dang, Xinhua Dong, Enda Zheng
article en
12 citations

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.

Scientific ReportsVol. 14(1)
Hubei University of Technology (CN)
Hubei University of Technology, Hubei University
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Blockchain Technology Applications and Security
9.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.