A cross domain access control model for medical consortium based on DBSCAN and penalty function

Graded diagnosis and treatment, referral, and expert consultations between medical institutions all require cross domain access to patient medical information to support doctors’ treatment decisions, leading to an increase in cross domain access among various medical institutions within the medical consortium. However, patient medical information is sensitive and private, and it is essential to control doctors’ cross domain access to reduce the risk of leakage. Access control is a continuous and long-term process, and it first requires verification of the legitimacy of user identities, while utilizing control policies for selection and management. After verifying user identity and access permissions, it is also necessary to monitor unauthorized operations. Therefore, the content of access control includes authentication, implementation of control policies, and security auditing. Unlike the existing focus on authentication and control strategy implementation in access control, this article focuses on the control based on access log security auditing for doctors who have obtained authorization to access medical resources. This paper designs a blockchain based doctor intelligent cross domain access log recording system, which is used to record, query and analyze the cross domain access behavior of doctors after authorization. Through DBSCAN clustering analysis of doctors’ cross domain access logs, we find the abnormal phenomenon of cross domain access, and build a penalty function to dynamically control doctors’ cross domain access process, so as to reduce the risk of Data breach. Finally, through comparative analysis and experiments, it is shown that the proposed cross domain access control model for medical consortia based on DBSCAN and penalty function has good control effect on the cross domain access behavior of doctors in various medical institutions of the medical consortia, and has certain feasibility for the cross domain access control of doctors.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-09-16
DOI
https://doi.org/10.1186/s12911-024-02638-5
Citations
5
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.90

Funders

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article

A cross domain access control model for medical consortium based on DBSCAN and penalty function

Pinghui Li, Bin Wu, Chuanjia Yao, Chenguang Wang et al.
5 citations
BMC Medical Informatics and Decision Making
Blockchain Technology Applications and Security
3.90
article

A cross domain access control model for medical consortium based on DBSCAN and penalty function

Pinghui Li, Bin Wu, Chuanjia Yao, Chenguang Wang, Rong Jiang
article en
5 citations

Abstract

Graded diagnosis and treatment, referral, and expert consultations between medical institutions all require cross domain access to patient medical information to support doctors’ treatment decisions, leading to an increase in cross domain access among various medical institutions within the medical consortium. However, patient medical information is sensitive and private, and it is essential to control doctors’ cross domain access to reduce the risk of leakage. Access control is a continuous and long-term process, and it first requires verification of the legitimacy of user identities, while utilizing control policies for selection and management. After verifying user identity and access permissions, it is also necessary to monitor unauthorized operations. Therefore, the content of access control includes authentication, implementation of control policies, and security auditing. Unlike the existing focus on authentication and control strategy implementation in access control, this article focuses on the control based on access log security auditing for doctors who have obtained authorization to access medical resources. This paper designs a blockchain based doctor intelligent cross domain access log recording system, which is used to record, query and analyze the cross domain access behavior of doctors after authorization. Through DBSCAN clustering analysis of doctors’ cross domain access logs, we find the abnormal phenomenon of cross domain access, and build a penalty function to dynamically control doctors’ cross domain access process, so as to reduce the risk of Data breach. Finally, through comparative analysis and experiments, it is shown that the proposed cross domain access control model for medical consortia based on DBSCAN and penalty function has good control effect on the cross domain access behavior of doctors in various medical institutions of the medical consortia, and has certain feasibility for the cross domain access control of doctors.

BMC Medical Informatics and Decision MakingVol. 24(1)
Yunnan University (CN), Institute of Scientific and Technical Information (CN), The First Hospital of Kunming (CN), Yunnan Academy of Agricultural Sciences (CN), Yunnan University of Finance And Economics (CN)
National Natural Science Foundation of China, Yunnan Provincial Department of Education
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Blockchain Technology Applications and Security
3.90
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