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首页> 外文期刊>Internet of Things Journal, IEEE >Secure Data Aggregation of Lightweight E-Healthcare IoT Devices With Fair Incentives
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Secure Data Aggregation of Lightweight E-Healthcare IoT Devices With Fair Incentives

机译：具有公平激励措施的轻量级电子医疗物联网设备的安全数据聚合

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摘要

With rapid development of e-healthcare systems, patients that are equipped with resource-limited e-healthcare devices (Internet of Things) generate huge amount of health data for health management. These health data possess significant medical value when aggregated from these distributed devices. However, efficient health data aggregation poses several security and privacy issues such as confidentiality disclosure and differential attacks, as well as patients may be reluctant to contribute their health data for aggregation. In this paper, we propose a privacy-preserving heath data aggregation scheme that securely collects health data from multiple sources and guarantee fair incentives for contributing patients. Specifically, we employ signature techniques to keep fair incentives for patients. Meanwhile, we add noises into the health data for differential privacy. Furthermore, we combine Boneh-Goh-Nissim cryptosystem and Shamir's secret sharing to keep data obliviousness security and fault tolerance. Security and privacy discussions show that our scheme can resist differential attacks, tolerate healthcare centers failures, and keep fair incentives for patients. Performance evaluations demonstrate cost-efficient computation, communication and storage overhead.
机译：随着电子医疗系统的快速发展，配备有资源受限的电子医疗设备（物联网）的患者会生成大量用于健康管理的健康数据。从这些分布式设备中汇总这些健康数据具有重要的医学价值。但是，有效的健康数据聚合会带来一些安全和隐私问题，例如机密性披露和差异攻击，并且患者可能不愿意提供其健康数据进行聚合。在本文中，我们提出了一种保护隐私的健康数据汇总方案，该方案可以安全地从多个来源收集健康数据，并确保公平地激励贡献患者。具体来说，我们采用签名技术来保持对患者的公平激励。同时，我们将噪音添加到健康数据中以保护隐私。此外，我们将Boneh-Goh-Nissim密码系统与Shamir的秘密共享相结合，以确保数据的安全性和容错性。安全性和隐私性讨论表明，我们的方案可以抵抗差异攻击，容忍医疗中心的故障并为患者提供合理的激励。性能评估表明具有成本效益的计算，通信和存储开销。

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