吉林大学学报(信息科学版) ›› 2026, Vol. 44 ›› Issue (2): 427-434.

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属性加密算法下医疗管理信息平台隐私数据查询访问控制

李丽君1 , 黄明清1 , 李秀芳1 , 贾 鑫2   

  1. 1. 长治医学院 附属和平医院, 山西 长治 046011; 2. 长治学院 计算机系, 山西 长治 046011
  • 收稿日期:2025-07-30 出版日期:2026-04-14 发布日期:2026-04-15
  • 作者简介:李丽君(1972- ),女,山西长治人,长治医学院附属和平医院主管技师, 主要从事卫生管理等研究, ( Tel) 86-13835513688(E-mail)llj13835513688@163.com。
  • 基金资助:
    山西省教学改革基金资助项目(J20241380)

Access Control for Privacy Data Query of Medical Management Information Platform under Attribute-Based Encryption Algorithm

LI Lijun 1 , HUANG Mingqing 1 , LI Xiufang 1 , JIA Xin 2   

  1. 1. Peace Hospital Affiliated, Changzhi Medical College, Changzhi 046011, China;2. Computer Department, Changzhi University, Changzhi 046011, China
  • Received:2025-07-30 Online:2026-04-14 Published:2026-04-15

摘要:

针对在医疗管理信息平台访问过程中, 其加密策略表达式的线性增长导致密文尺寸膨胀, 尤其当医疗属性集合超过 20 维时, 密文膨胀系数呈现指数级攀升, 导致数据解密完整性下降, 隐私泄露风险增加的问题,提出了属性加密算法下医疗管理信息平台隐私数据查询访问控制方法。 构建医疗管理信息平台隐私数据查询访问控制流程, 即采用属性加密算法设定医疗管理信息平台隐私数据访问策略, 依据初始化算法生成医疗信息密钥, 并在加密医疗管理信息平台隐私数据的同时能有效解决加密策略表达式的线性增长导致密文尺寸膨胀问题。 其使用户能精准快速获得包含医疗信息访问策略的密文信息, 并通过密钥解密医疗管理信息平台隐私数据密文信息, 获得原始医疗管理信息平台隐私数据, 实现医疗管理信息平台隐私数据查询访问控制。 实验证明该方法解密效率不受数据属性规模影响, 攻击拒绝率均高于 98% , 医疗管理信息平台隐私数据解密完整性均高于 99. 3% , 隐私泄露风险稳定控制在 0. 11% ~ 0. 15% 范围, 有助于确保医疗管理信息平台隐私数据安全性, 推动医疗管理信息平台智能化发展。

关键词:

Abstract:

In the process of accessing the medical management information platform, the linear growth of its encryption policy expression leads to the expansion of ciphertext size. Especially when the medical attribute set exceeds 20 dimensions, the ciphertext expansion coefficient shows an exponential increase, resulting in a decrease in data decryption integrity and an increase in privacy leakage risk. Therefore, a privacy data query access control method for the medical management information platform under attribute encryption algorithm is proposed. A privacy data query access control process is constructed for the medical management information platform, which involves using attribute encryption algorithm to set the privacy data access policy for the medical management information platform, generating medical information keys based on initialization algorithm, encrypting the privacy data of the medical management information platform, and effectively solving the problem of ciphertext size expansion caused by the linear growth of encryption policy expressions. Therefore, the user side can accurately and quickly obtain the ciphertext information containing the medical information access policy,
decrypt the privacy data ciphertext information of the medical management information platform through the key,obtain the original privacy data of the medical management information platform, and achieve access control for privacy data query on the medical management information platform. Experimental results have shown that the decryption efficiency of this method is not affected by the size of data attributes, and the attack rejection rate is higher than 98% . The integrity of private data decryption on medical management information platforms is higher than 99. 3% , and the risk of privacy leakage is stably controlled at 0. 11% -0. 15% . It helps to ensure the security of private data on medical management information platforms and promote the intelligent development of medical management information platforms.

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中图分类号: 

  • TP309