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移动医疗中一种匿名代理可追踪隐私保护方案

罗恩韬, 段国云, 周雷, 朱小玉

罗恩韬, 段国云, 周雷, 朱小玉. 移动医疗中一种匿名代理可追踪隐私保护方案[J]. 计算机研究与发展, 2020, 57(5): 1070-1079. DOI: 10.7544/issn1000-1239.2020.20190307
引用本文: 罗恩韬, 段国云, 周雷, 朱小玉. 移动医疗中一种匿名代理可追踪隐私保护方案[J]. 计算机研究与发展, 2020, 57(5): 1070-1079. DOI: 10.7544/issn1000-1239.2020.20190307
Luo Entao, Duan Guoyun, Zhou Lei, Zhu Xiaoyu. An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System[J]. Journal of Computer Research and Development, 2020, 57(5): 1070-1079. DOI: 10.7544/issn1000-1239.2020.20190307
Citation: Luo Entao, Duan Guoyun, Zhou Lei, Zhu Xiaoyu. An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System[J]. Journal of Computer Research and Development, 2020, 57(5): 1070-1079. DOI: 10.7544/issn1000-1239.2020.20190307
罗恩韬, 段国云, 周雷, 朱小玉. 移动医疗中一种匿名代理可追踪隐私保护方案[J]. 计算机研究与发展, 2020, 57(5): 1070-1079. CSTR: 32373.14.issn1000-1239.2020.20190307
引用本文: 罗恩韬, 段国云, 周雷, 朱小玉. 移动医疗中一种匿名代理可追踪隐私保护方案[J]. 计算机研究与发展, 2020, 57(5): 1070-1079. CSTR: 32373.14.issn1000-1239.2020.20190307
Luo Entao, Duan Guoyun, Zhou Lei, Zhu Xiaoyu. An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System[J]. Journal of Computer Research and Development, 2020, 57(5): 1070-1079. CSTR: 32373.14.issn1000-1239.2020.20190307
Citation: Luo Entao, Duan Guoyun, Zhou Lei, Zhu Xiaoyu. An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System[J]. Journal of Computer Research and Development, 2020, 57(5): 1070-1079. CSTR: 32373.14.issn1000-1239.2020.20190307

移动医疗中一种匿名代理可追踪隐私保护方案

基金项目: 国家自然科学基金重点项目(61632009);国家自然科学基金面上项目(61472451,61402543,61272151,61502163);湖南省自然科学基金面上项目(2018JJ2147);湖南省自然科学基金青年项目(2018JJ3203);湖南省教育厅科学研究项目(2015C0589,17C0679);湖南科技学院应用特色学科建设项目
详细信息
  • 中图分类号: TP393

An Anonymous Agent Tracking Privacy Preserving Scheme in Mobile Healthcare System

Funds: This work was supported by the Key Program of the National Natural Science Foundation of China (61632009), the General Program of the National Natural Science Foundation of China (61472451, 61402543, 61272151, 61502163), the General Program of the Natural Science Foundation of Hunan Province of China (2018JJ2147), the Natural Science Foundation of Hunan Province of China for Young Scientists (2018JJ3203), the Scientific Research Foundation of Hunan Provincial Education Department (2015C0589, 17C0679), and the Construct Program of Applied Characteristic Discipline in Hunan University of Science and Engineering.
  • 摘要: 针对移动医疗高峰情况下医生的服务瓶颈,提出利用医生授权代理计算医疗用户的实时隐私数据,从而减轻医生的负担和提高服务的灵活性,运用属性加密技术对医疗数据进行加密,代理属性满足授权者设置的访问策略时才能正确解密密文,获得代理签名权,从而对医疗用户提供医疗服务.该方案不仅能够缓解移动医疗高峰情况下医生的服务瓶颈,也可以解决医生因为特殊情况不在岗位的授权问题,同时可以做到对代理的工作进行回溯追踪,做到了对代理问责以及避免代理越权操作.方案利用可信授权中心进行匹配计算,降低了授权医生对医疗用户的验证计算开销,性能较以往明显提高,同时利用人数预期模型与提供计算资源预期模型,对有效参与人数和协作计算能力进行了估计,为有效缓解计算高峰时的计算瓶颈问题提供了借鉴意义.
    Abstract: To solve doctor’s service bottlenecks under the peak condition of mobile medical, the paper proposes utilizing authorized agents to provide service, so as to reduce the burden of doctors and enhance the flexibility of service as well. We use attribute encryption technology to encrypt medical data. The ciphertext can be decrypted correctly when the proxy attribute satisfies the policy set by the authorized user, so as to obtain proxy signature to provide medical service for medical users. The scheme not only can alleviate the burden on the mobile medical service providers in the peak of the bottleneck, but also can solve the authorization problem during the absence of doctors. At the same time, we can achieve proxy traceback to preform the agency accountability and avoid unauthorized agency audit. This scheme can be used to reduce the computing cost of authorized doctors by using trusted authorization center. The simulation results reveal that the performance can be improved significantly than other scheme. At the same time, the candidate number prediction model and the supply computational resources prediction model are proposed. They can effectively estimate the number of candidate and collaborative computing power ability, which can be used for reference to alleviate the bottleneck problem in peak computing.
  • 期刊类型引用(9)

    1. 薛庆水,时雪磊,王俊华,薛震,王晨阳. 基于属性加密的个人医疗数据共享方案. 计算机应用研究. 2023(02): 589-594+600 . 百度学术
    2. 刘源,柳欣,李超会,王思雨,邢玉杰. 隐私保护的电子健康档案安全共享系统. 信息技术与信息化. 2023(04): 111-114 . 百度学术
    3. 李雨霏,梁妍景,吴媚,陈卫宏,侯黎莉. 移动医疗在口腔癌病人延续性康复护理中的应用进展. 护理研究. 2023(11): 1961-1965 . 百度学术
    4. 王浩,胡艳珂,郜勇. 医院移动电子签名的应用研究. 中国卫生信息管理杂志. 2023(03): 471-474+481 . 百度学术
    5. 牛淑芬,宋蜜,方丽芝,王彩芬. 智慧医疗中基于属性加密的云存储数据共享. 电子与信息学报. 2022(01): 107-117 . 百度学术
    6. 朱文,裴小芹,徐慧. 移动医疗在压力性损伤患者中的应用进展. 中华现代护理杂志. 2022(04): 433-437 . 百度学术
    7. 陈春燕. 医院内网在线档案云存储隐私信息加密技术研究. 自动化技术与应用. 2022(06): 51-54+61 . 百度学术
    8. 韩普,顾亮,张嘉明. 隐私保护视角下医疗数据共享意愿研究——基于三方演化博弈分析. 现代情报. 2021(03): 148-158 . 百度学术
    9. 邓安远,史姣丽,黄定,何凯. 支持关键词隐私保护的密文共享系统. 软件导刊. 2020(10): 228-232 . 百度学术

    其他类型引用(4)

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出版历程
  • 发布日期:  2020-04-30

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