A Low Cost Blockchain-Based Framework for Preserving Critical Data in Health-Care IoT Systems Using Classification

Heba Takruri Tamemi, Manar Rabayah, Kareem Abu Raad, Mai Kanaan, Ahmed Awad
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Abstract

Security and privacy of Internet of Things (IoT) data are highly essential for a wide spectrum of applications, on top of which are medical systems. In medical systems, we need to guarantee the confidentiality, integrity, and availability (CIA triad) of the data generated from IoT devices in order to investigate medical malpractices. Blockchain provides an immutable storage without relying on an external third party to build trust and transparency. Therefore, blockchain is a suitable option to securely store such data. However, the excessive reliance on IoT devices in medical applications results in producing a large amount of data periodically, and thus, makes its solely storage on blockchain extremely expensive. In this paper, we propose a cost-efficient comprehensive framework to store IoT medical devices data on the blockchain by using a data-driven classifier. The classifier in the proposed framework is driven by a range of normal data for each sensor type. All data whether normal or abnormal is stored on a typical cloud. Only data that is classified as abnormal (critical) is stored on the blockchain for cost saving purposes. Furthermore, a distributed file system (IPFS) is utilized for extra cost reduction. Experimental results show that our proposed framework reduces the cost of storing healthcare IoT data by an average of 84% if compared with solely storing all data on the blockchain.
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一种基于区块链的低成本框架,用于使用分类保存医疗保健物联网系统中的关键数据
物联网(IoT)数据的安全性和隐私性对于广泛的应用至关重要,其中最重要的是医疗系统。在医疗系统中,我们需要保证物联网设备生成的数据的机密性、完整性和可用性(CIA triad),以便调查医疗事故。区块链提供不可变的存储,而不依赖于外部第三方来建立信任和透明度。因此,区块链是安全存储此类数据的合适选择。然而,医疗应用中对物联网设备的过度依赖导致定期产生大量数据,因此,将其单独存储在区块链上非常昂贵。在本文中,我们提出了一个经济高效的综合框架,通过使用数据驱动的分类器将物联网医疗设备数据存储在区块链上。所提出的框架中的分类器由每种传感器类型的一系列正常数据驱动。所有正常或异常的数据都存储在一个典型的云上。为了节省成本,区块链只存储异常(紧急)级别的数据。此外,还使用分布式文件系统(IPFS)来降低额外的成本。实验结果表明,与将所有数据单独存储在区块链上相比,我们提出的框架将医疗保健物联网数据的存储成本平均降低了84%。
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