A Decentralized Privacy-Preserving Healthcare Blockchain for IoT

A Decentralized Privacy-Preserving Healthcare Blockchain for IoT
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DOI:
10.3390/s19020326
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发表时间:
2019-01-02
期刊:
影响因子:
3.9
通讯作者:
Singh, Rajani
Singh, Rajani
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Dwivedi, Ashutosh Dhar;Srivastava, Gautam;Singh, Rajani

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医疗已经成为人类生活中最不可或缺的部分之一,导致医疗大数据急剧增长。为了简化诊断和治疗过程,医疗保健专业人员现在正在采用基于物联网(IoT)的可穿戴技术。近年来,数十亿的传感器、设备和车辆通过互联网连接在一起。一种这样的技术——远程病人监控——现在在病人的治疗和护理中很常见。然而,这些技术也带来了严重的隐私风险和数据传输和数据交易记录的安全问题。这些医疗数据的安全和隐私问题可能会导致治疗进度的延误,甚至危及患者的生命。我们建议使用区块链来提供医疗大数据的安全管理和分析。然而,区块链在计算上是昂贵的,需要高带宽和额外的计算能力,因此并不完全适合用于智能城市的大多数资源受限的物联网设备。在这项工作中,我们试图解决上述与物联网设备使用区块链的问题。我们提出了一种适用于物联网设备的改进区块链模型的新框架,这些设备依赖于其分布式特性以及网络的其他额外隐私和安全属性。我们模型中这些额外的隐私和安全属性是基于高级加密原语的。这里给出的解决方案使物联网应用数据和交易在基于区块链的网络上更加安全和匿名。
Medical care has become one of the most indispensable parts of human lives, leading to a dramatic increase in medical big data. To streamline the diagnosis and treatment process, healthcare professionals are now adopting Internet of Things (IoT)-based wearable technology. Recent years have witnessed billions of sensors, devices, and vehicles being connected through the Internet. One such technologyremote patient monitoringis common nowadays for the treatment and care of patients. However, these technologies also pose grave privacy risks and security concerns about the data transfer and the logging of data transactions. These security and privacy problems of medical data could result from a delay in treatment progress, even endangering the patient's life. We propose the use of a blockchain to provide secure management and analysis of healthcare big data. However, blockchains are computationally expensive, demand high bandwidth and extra computational power, and are therefore not completely suitable for most resource-constrained IoT devices meant for smart cities. In this work, we try to resolve the above-mentioned issues of using blockchain with IoT devices. We propose a novel framework of modified blockchain models suitable for IoT devices that rely on their distributed nature and other additional privacy and security properties of the network. These additional privacy and security properties in our model are based on advanced cryptographic primitives. The solutions given here make IoT application data and transactions more secure and anonymous over a blockchain-based network.