PGuide: An Efficient and Privacy-Preserving Smartphone-Based Pre-Clinical Guidance Scheme
PGuide: An Efficient and Privacy-Preserving Smartphone-Based Pre-Clinical Guidance Scheme
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DOI：
10.1109/glocom.2014.7417026
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
Guoming Wang;R. Lu;Cheng Huang
中科院分区：
文献类型：
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作者：
Guoming Wang;R. Lu;Cheng Huang
随着智能手机的普及，移动的电子医疗近年来引起了相当大的关注。疾病风险预测，因为它可以帮助预测用户的疾病与大数据分析技术，已成为电子医疗领域的重要课题之一。然而，如果隐私问题得不到很好的解决，疾病风险预测就无法蓬勃发展。针对这一问题，本文提出了一种新的高效的、隐私保护的临床前引导方案PGuide，以隐私保护的方式为医疗用户提供自我诊断服务。具体而言，为了激励医疗用户提供更详细的健康档案，以准确的疾病风险预测，我们在PGuide方案中引入了隐私保护比较协议PPCP。结果，在医疗用户提供足够的健康概况信息的情况下，可以提高疾病风险预测的准确性。详细的安全性分析表明，我们提出的PGuide方案确保了隐私保护的医疗用户和服务提供商。此外，通过大量的实验性能评估也表明，我们提出的PPCP协议是非常有效的低计算成本和通信开销。
With the pervasiveness of smartphones, mobile e- Healthcare has attracted considerable attention in recent years. Disease risk prediction, as it can assist in predicting user's disease with big data analytics techniques, has become one of important topics in the field of e-Healthcare. However, if the privacy issue is not well addressed, disease risk predication cannot step into its flourish. Aiming at addressing this challenge, in this paper, we propose a new efficient and privacy- preserving pre-clinical guidance scheme, called PGuide, which offers self-diagnosis service to medical users in a privacy-preserving way. In specific, to motivate medical users to provide more detailed health profile for accurate disease risk prediction, we introduce a privacy-preserving comparison protocol PPCP in the PGuide scheme. As a result, with enough health profile information offered by the medical users, the accuracy of disease risk prediction can be improved. Detailed security analysis shows that our proposed PGuide scheme ensures the privacy-preservation for both medical users and service provider. In addition, the performance evaluation via extensive experiments also demonstrates that our proposed PPCP protocol is much efficient in terms of low computational cost and communication overhead.