关键词: Access control Blockchain Deep learning Security Smart city Vaccine manufacturing

来  源:   DOI:10.1016/j.cie.2022.107967   PDF(Pubmed)

Abstract:
With the Corona Virus Disease 2019 (COVID-19) outbreak, vaccination is an urgent need worldwide. Internet of Things (IoT) has a vital role in the smart city for vaccine manufacturing with wearable sensors. According to the advanced services in intelligent manufacturing, the fourth resolution is also changing in Industry 5.0 and utilizes high-definition connectivity sensors. Traditional manufacturing companies rely on trusted third parties, which may act as a single point of failure. Access control, big data, and scalability are also challenging issues in existing systems because of the demand response data (DRD) in advanced manufacturing. To mitigate these challenges, CoVAC: A P2P Smart Contract-based Intelligent Smart City Architecture for Vaccine Manufacturing is proposed with three layers, including connection, conversion, and intelligent cloud layer. Smart contract-based blockchain is utilized at the conversion layer for resolving access control, security, and privacy issues. Deep learning is adopted in the intelligent cloud layer for big data analysis and increasing production for vaccine manufacturing in smart city environments. A case study is carried out wherein access data are collected from the various smart plants for vaccines using smart manufacturing to validate the effectiveness of the proposed architecture. Simulation of the proposed architecture is performed on the collected advanced sensor IoT plants data to address the challenges above, offering scalable production in the vaccine manufacturing for the smart city.
摘要:
随着2019年冠状病毒病(COVID-19)的爆发,疫苗接种是全世界的迫切需要。物联网(IoT)在使用可穿戴传感器进行疫苗制造的智慧城市中发挥着至关重要的作用。根据智能制造中的先进服务,第四种分辨率也在工业5.0中发生变化,并利用高清连接传感器。传统制造企业依赖可信赖的第三方,这可能是单点故障。访问控制,大数据,由于先进制造中的需求响应数据(DRD),可扩展性和可扩展性也是现有系统中的挑战性问题。为了缓解这些挑战,CoVAC:提出了基于P2P智能合约的疫苗制造智能智慧城市架构,分为三层,包括连接,转换,和智能云层。基于智能合约的区块链在转换层用于解决访问控制,安全,和隐私问题。智能云层采用深度学习进行大数据分析,并在智慧城市环境中增加疫苗制造的产量。进行了一个案例研究,其中使用智能制造从各种疫苗智能工厂收集访问数据,以验证所提出的体系结构的有效性。在收集的高级传感器物联网工厂数据上执行所提出的架构的仿真,以解决上述挑战,为智慧城市的疫苗生产提供可扩展的生产。
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