In this paper, we consider a trustworthy framework for data management in a supply chain. The framework provides verifiable evidence for secure data management in each organization involved in a supply chain. It consists of three main components: black box systems that securely store digital evidence, verification services that verify the digital evidence and publish a guarantee document for data management, and a trusted directory service that manages the guarantee document. Furthermore, future directions for research are discussed in this paper. We believe the framework will improve security and trustworthiness of supply chains.
CITATION STYLE
Kiyomoto, S., Nakano, Y., Waseda, A., Nakamura, T., Ishizaka, M., & Kobayashi, Y. (2019). A Framework for Secure and Trustworthy Data Management in Supply Chain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11673 LNCS, pp. 148–159). Springer. https://doi.org/10.1007/978-3-030-27192-3_12
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