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Authentication of lossy data in body-sensor networks for cloud-based healthcare monitoring

机译：人体传感器网络中有损数据的身份验证，用于基于云的医疗保健监控

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摘要

Growing pressure on healthcare costs is spurring development of lightweight bodyworn sensors for realtime and continuous physiological monitoring. Data from these sensors is streamed wirelessly to a handheld device such as a smartphone or tablet, and then archived in the cloud by personal health record services. Authenticating the data these devices generate is vital to ensure proper diagnosis, traceability, and validation of claims. Digital signatures at the packet-level are too resource-intensive for bodyworn devices, while block-level signatures are not robust to loss. In this paper we propose, analyse, and validate a practical, lightweight robust authentication scheme suitable for health-monitoring. We make three specific contributions: (a) we develop an authentication scheme that is both low-cost (using a Merkle hash tree to amortise digital signature costs), and loss-resilient (using network coding to recover strategic nodes within the tree), (b) We design a framework for optimizing placement of network coding within the tree to maximise data verifiability for a given overhead and loss environment, (c) We validate our scheme using experimental traces of typical operating conditions to show that it achieves high success (over 99% of the medical data can be authenticated) at very low overheads (as low as 5% extra transmissions) and at very low cost (the bodyworn device has to perform a digital signature operation no more than once per hour). We believe our novel authentication scheme can be a key step in the integration of wearable medical monitoring devices into current cloud-based healthcare systems.
机译：医疗保健成本的压力越来越大，促使人们开发用于实时和连续生理监测的轻便型人体传感器。来自这些传感器的数据被无线传输到手持设备，例如智能手机或平板电脑，然后由个人健康记录服务存储在云中。验证这些设备生成的数据对于确保正确的诊断，可追溯性和对索赔的确认至关重要。数据包级别的数字签名对于随身携带的设备而言过于资源密集，而数据块级别的签名则不易丢失。在本文中，我们提出，分析和验证了一种适用于健康状况监视的实用，轻量级的可靠身份验证方案。我们做出三个具体的贡献：（a）我们开发了一种认证方案，该方案既低成本（使用Merkle哈希树来摊销数字签名成本），又具有防丢失能力（使用网络编码来恢复树中的战略节点）， （b）我们设计了一个框架，用于优化树中网络编码的放置，以在给定的开销和损失环境下最大化数据可验证性，（c）我们使用典型操作条件的实验跟踪来验证我们的方案，以表明其取得了很高的成功（可以以极低的开销（低至5％的额外传输）和极低的成本（体戴式设备每小时执行不超过一次的数字签名操作）来验证超过99％的医疗数据。我们相信我们新颖的身份验证方案可能是可穿戴医疗监控设备集成到当前基于云的医疗系统中的关键步骤。

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