Verifiable privacy-preserving monitoring for cloud-assisted mHealth systems
Verifiable privacy-preserving monitoring for cloud-assisted mHealth systems
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DOI：
10.1109/infocom.2015.7218475
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发表时间：
2015-04
期刊：
影响因子：
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通讯作者：
Linke Guo;Yuguang Fang;Ming Li;Pan Li
中科院分区：
文献类型：
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作者：
Linke Guo;Yuguang Fang;Ming Li;Pan Li
广泛部署的移动医疗系统使患者能够有效地收集、汇总和报告他们的个人健康记录（PHRs），从而降低成本并缩短响应时间。不断增长的PHR监测需求需要医疗保健公司的参与，这些公司提供用于分析PHR的监测程序。不幸的是，医疗保健公司缺乏支持数百万患者的计算、存储和通信能力。为了解决这个问题，他们寻求云的帮助。然而，将监控程序委托给云可能会导致严重的安全和隐私泄露，因为人们必须向公共领域提供他们的身份信息和phrr。更糟糕的是，云可能会错误地返回错误的计算结果，这将危及患者的生命。在本文中，我们提出了一种可验证的隐私保护监控方案，用于云辅助移动医疗系统。我们的方案允许患者在不泄露其phrr和身份信息的情况下验证云计算结果的正确性。此外，我们先进的方案提供高效的PHR更新和复杂监测程序的PHR计算。通过详细的性能评估，证明了该方案的安全性和高效性。
Widely deployed mHealth systems enable patients to efficiently collect, aggregate, and report their Personal Health Records (PHRs), and then lower the costs and shorten their response time. The increasing needs of PHR monitoring require the involvement of healthcare companies that provide monitoring programs for analyzing PHRs. Unfortunately, healthcare companies are lack of the computation, storage, and communication capability on supporting millions of patients. To tackle this problem, they seek for the help from the cloud. However, delegating monitoring programs to the cloud may incur serious security and privacy breaches because people have to provide their identity information and PHRs to the public domain. Even worse, the cloud may mistakenly return the incorrect computation results, which will put patients' life in jeopardy. In this paper, we propose a verifiable privacy-preserving monitoring scheme for cloud-assisted mHealth systems. Our scheme allows patients to verify the correctness of computation results from the cloud without revealing their PHRs and identity information. In addition, our advanced schemes offer efficient PHR updates and PHR computations on complex monitoring programs. By detailed performance evaluation, we have shown the security and efficiency of our proposed scheme.