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A Framework for Secure and Trustworthy Data Management in Supply Chain

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Mobile Web and Intelligent Information Systems (MobiWIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11673))

Abstract

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.

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Acknowledgement

A part of this work was supported by the Cabinet Office (CAO), Cross-ministerial Strategic Innovation Promotion Program (SIP), “Cyber Physical Security for IoT Society” (funding agency: NEDO).

Author information

Authors and Affiliations

  1. KDDI Research Inc., Fujimino, Saitama, 356-8502, Japan

    Shinsaku Kiyomoto, Yuto Nakano, Atsushi Waseda, Masahito Ishizaka & Yasuaki Kobayashi

  2. Advanced Telecommunications Research Institute International, Sorakugun, Kyoto, 619-0288, Japan

    Toru Nakamura

Authors
  1. Shinsaku Kiyomoto
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  2. Yuto Nakano
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  3. Atsushi Waseda
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  4. Toru Nakamura
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  5. Masahito Ishizaka
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  6. Yasuaki Kobayashi
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Corresponding author

Correspondence to Shinsaku Kiyomoto .

Editor information

Editors and Affiliations

  1. University of Bradford, Bradford, UK

    Irfan Awan

  2. Oxford Brookes University, Oxford, UK

    Muhammad Younas

  3. Teknopark Ankara, Ankara, Turkey

    Perin Ünal

  4. ABB AG Forschungszentrum, Ladenburg, Germany

    Markus Aleksy

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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: Awan, I., Younas, M., Ünal, P., Aleksy, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2019. Lecture Notes in Computer Science(), vol 11673. Springer, Cham. https://doi.org/10.1007/978-3-030-27192-3_12

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  • DOI: https://doi.org/10.1007/978-3-030-27192-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27191-6

  • Online ISBN: 978-3-030-27192-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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