基于 DBSCAN 和惩罚函数的医疗联合体跨域访问控制模型

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS BMC Medical Informatics and Decision Making Pub Date : 2024-09-16 DOI:10.1186/s12911-024-02638-5
Chuanjia Yao, Rong Jiang, Bin Wu, Pinghui Li, Chenguang Wang
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引用次数: 0

摘要

医疗机构之间的分级诊疗、转诊和专家会诊都需要跨域访问病人的医疗信息,以支持医生的治疗决策,这导致医疗联合体内各医疗机构之间的跨域访问越来越多。然而,病人的医疗信息具有敏感性和私密性,必须对医生的跨域访问进行控制,以降低泄漏风险。访问控制是一个持续和长期的过程,首先需要验证用户身份的合法性,同时利用控制策略进行选择和管理。在验证用户身份和访问权限后,还需要对未经授权的操作进行监控。因此,访问控制的内容包括身份验证、控制策略的实施和安全审计。不同于现有访问控制中对身份验证和控制策略实施的关注,本文重点关注基于访问日志安全审计的控制,对获得授权的医生访问医疗资源进行安全审计。本文设计了基于区块链的医生智能跨域访问日志记录系统,用于记录、查询和分析医生授权后的跨域访问行为。通过对医生跨域访问日志进行DBSCAN聚类分析,发现跨域访问的异常现象,并构建惩罚函数对医生跨域访问过程进行动态控制,从而降低数据泄露风险。最后,通过对比分析和实验表明,提出的基于DBSCAN和惩罚函数的医疗联合体跨域访问控制模型对医疗联合体各医疗机构医生的跨域访问行为具有良好的控制效果,对医生的跨域访问控制具有一定的可行性。
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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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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
期刊最新文献
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