The Augmented Intelligence of Things enables many edge or end devices in the Internet of Things (IoT) to perform machine reasoning to make decisions, thus become more intelligent. For healthcare enterprises, huge physical data generated by smart devices facilitate to iterate their products. However, traditional data sharing models based on cloud outsourcing meet many security challenges, such as data confidentiality, reliability, and privacy protection, and most existing schemes have high computational complexity for the utilization of time-consuming cryptographic operations, such as bilinear pairing, which is not suitable for those resource-constrained IoT devices. To tackle the abovementioned issues, we present Double Rainbows, a promising data sharing scheme based on pairing-free searchable encryption. It is constructed on the cloud-edge-end architecture, supporting computing task transfer and reliable data storage and retrieval. The experimental results show that it outperforms in efficiency and exhibit more security functionalities.

中文翻译：

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双彩虹：物联网增强智能中前景广阔的分布式数据共享


物联网增强智能使物联网（IoT）中的许多边缘或终端设备能够执行机器推理来做出决策，从而变得更加智能。对于医疗保健企业来说，智能设备产生的海量物理数据有利于产品的迭代。然而，基于云外包的传统数据共享模型面临着数据保密性、可靠性和隐私保护等诸多安全挑战，并且大多数现有方案由于使用耗时的密码操作（例如双线性配对）而具有较高的计算复杂度。不适合那些资源受限的物联网设备。为了解决上述问题，我们提出了 Double Rainbows，这是一种基于免配对可搜索加密的有前途的数据共享方案。它构建在云边端架构上，支持计算任务传输和可靠的数据存储和检索。实验结果表明，它在效率上表现出色，并表现出更多的安全功能。