Blockchain Integration in the Era of Industrial Metaverse

Blockchain can be realized as a distributed and decentralized database, also known as a distributed ledger, that is shared among the nodes of a computer network. Blockchain is a form of democratized and distributed database for storing information electronically in a digital format. Under the framework of Industry 4.0, the digitization and digitalization of manufacturing and production systems and networks have been focused, thus Big Data sets are a necessity for any manufacturing activity. Big Data sets are becoming a useful resource as well as a byproduct of the activities/processes taking place. However, there is an imminent risk of cyberattacks. The contribution of blockchain technology to intelligent manufacturing can be summarized as (i) data validity protection, (ii) inter- and intra-organizational communication organization, and (iii) efficiency improvement of manufacturing processes. Furthermore, the need for increased cybersecurity is magnified as the world is heading towards a super smart and intelligent societal model, also known as Society 5.0, and the industrial metaverse will become the new reality in manufacturing. Blockchain is a cutting-edge, secure information technology that promotes business and industrial innovation. However, blockchain technologies are bound by existing limitations regarding scalability, flexibility, and cybersecurity. Therefore, in this literature review, the implications of blockchain technology for addressing the emerging cybersecurity barriers toward safe and intelligent manufacturing in Industry 5.0 as a subset of Society 5.0 are presented.

Automated summary

Blockchain is a distributed and decentralized database that allows for secure sharing of information among computer network nodes. In the context of Industry 4.0, digitalization of manufacturing systems has increased the importance of big data sets, but also heightened the risk of cyberattacks. Blockchain technology contributes to intelligent manufacturing by protecting data validity, facilitating inter- and intra-organizational communication, and improving manufacturing processes' efficiency.