Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan.
Faculty of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan.
Sensors (Basel). 2022 Jun 29;22(13):4909. doi: 10.3390/s22134909.
Ensuring the reliability of data gathering from every connected device is an essential issue for promoting the advancement of the next paradigm shift, i.e., Industry 4.0. Blockchain technology is becoming recognized as an advanced tool. However, data collaboration using blockchain has not progressed sufficiently among companies in the industrial supply chain (SC) that handle sensitive data, such as those related to product quality, etc. There are two reasons why data utilization is not sufficiently advanced in the industrial SC. The first is that manufacturing information is top secret. Blockchain mechanisms, such as Bitcoin, which uses PKI, require plaintext to be shared between companies to verify the identity of the company that sent the data. Another is that the merits of data collaboration between companies have not been materialized. To solve these problems, this paper proposes a business-to-business collaboration system using homomorphic encryption and blockchain techniques. Using the proposed system, each company can exchange encrypted confidential information and utilize the data for its own business. In a trial, an equipment manufacturer was able to identify the quality change caused by a decrease in equipment performance as a cryptographic value from blockchain and to identify the change one month earlier without knowing the quality value.
确保从每个连接的设备中收集数据的可靠性对于推动下一个范式转变(即工业 4.0)的发展至关重要。区块链技术正逐渐被视为一种先进的工具。然而,在处理敏感数据(如产品质量等相关数据)的工业供应链(SC)中,各公司之间使用区块链进行数据协作的进展并不充分。工业 SC 中数据利用不够先进的原因有两个。第一个原因是制造信息是最高机密。比特币等使用 PKI 的区块链机制需要在公司之间共享纯文本,以验证发送数据的公司的身份。另一个原因是公司之间的数据协作的优势尚未实现。为了解决这些问题,本文提出了一种使用同态加密和区块链技术的企业对企业协作系统。使用所提出的系统,每个公司都可以交换加密的机密信息,并将数据用于自己的业务。在一项试验中,设备制造商能够从区块链中识别出由设备性能下降引起的质量变化,并在不知道质量值的情况下提前一个月识别出这种变化。