When Blockchain Meets Edge Intelligence: Trusted and Security Solutions for Consumers

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).

Automated summary

This study introduces a blockchain-based edge intelligence system to address data security, privacy, latency, and efficiency issues in edge computing. The system uses public and private blockchains to ensure data security and communication privacy while presenting a use case scenario in the COVID-19 pandemic.