Nowadays, mission-critical applications need delay-free responses, which can be achieved by computation at the edge devices known as edge computing. But edge computing needs cloud computing services to perform massive intelligent tasks like AI-based prediction and analysis, which still possesses high latency in making intelligent decisions. This can be resolved by bringing intelligence at the edge device or edge server, which introduces complex problems either at the proximity of edge devices, that is, consumer electronic devices (CED), or at the CED by bringing intelligence at the edge. The process of bringing intelligence to the edge is called edge intelligence (EI). The computation at edge servers is susceptible to various security and privacy issues and possesses high latency due to data propagation from the device to the dedicated edge server. To overcome the aforementioned issues, this study presents a blockchain-based edge intelligence system to ensure the CEDs' data security, privacy, latency, and efficiency. The proposed system uses public and private blockchains to fulfil the gaps mentioned above of the traditional systems. The public blockchain ensures CEDs' data communication privacy security, whereas private block-chain ensures secure communication among the EI servers. Then, we present the use case scenario of blockchain and edge intelligence (EI) in the COVID-19 pandemic and evaluate its performance over computation cost by comparing the intelligence at CED with the intelligence at the edge server and centralized cloud server (CCS).

中文翻译：

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当区块链遇到边缘智能：为消费者提供值得信赖的安全解决方案


如今，关键任务应用程序需要无延迟响应，这可以通过称为边缘计算的边缘设备上的计算来实现。但边缘计算需要云计算服务来执行基于人工智能的预测和分析等海量智能任务，在智能决策方面仍然存在较高的延迟。这可以通过在边缘设备或边缘服务器引入智能来解决，这会在边缘设备（即消费电子设备 (CED)）附近引入复杂的问题，或者在边缘引入智能而在 CED 引入复杂的问题。将智能引入边缘的过程称为边缘智能（EI）。边缘服务器的计算容易受到各种安全和隐私问题的影响，并且由于数据从设备传播到专用边缘服务器而具有高延迟。为了克服上述问题，本研究提出了一种基于区块链的边缘智能系统，以确保 CED 的数据安全、隐私、延迟和效率。所提出的系统使用公共和私有区块链来填补传统系统的上述空白。公共区块链确保CED的数据通信隐私安全，而私有区块链则确保EI服务器之间的安全通信。然后，我们介绍了区块链和边缘智能 (EI) 在 COVID-19 大流行中的用例场景，并通过将 CED 的智能与边缘服务器和集中式云服务器 (CCS) 的智能进行比较来评估其性能与计算成本的关系。