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POSTER: Using Verifiable Credentials for Authentication of UAVs in Logistics

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Applied Cryptography and Network Security Workshops (ACNS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13907))

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Abstract

Verifiable Credentials (VCs) have been widely adopted as a format for asserting information through use of digital signature technique, and offer versatile usages. The World Wide Web Consortium (W3C) has standardized the data model for VCs [1], and the motivation for this study is to verify the applicability of its data model through a concrete, realistic scenario. For verification, we have chosen a scenario where Unmanned Aerial Vehicles (UAVs) collaborate to deliver packages. As a contribution of this study, we demonstrate how we can selectively disclose attributes of UAVs yet ensure its mission under an authorized contract. Furthermore, we propose a method for issuing receipts through use of VCs and Verifiable Presentations (VPs) that guarantees completion of delivery while UAVs remain anonymous. For this function, we developed a new format for VP, namely ‘VP with Message.’ These features have been implemented through a demo application.

These research results were obtained from the commissioned research (No. 03901) by National Institute of Information and Communications Technology (NICT), Japan.

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References

  1. Verifiable Credentials Data Model v1.1 W3C Recommendation (2022). https://www.w3.org/TR/vc-data-model/

  2. European Union, Eu digital Covid certificate. https://commission.europa.eu/live-work-travel-eu/coronavirus-response/safe-covid-19-vaccines-europeans/eu-digital-covid-certificate

  3. Au, M.H., Susilo, W., Mu, Y.: Constant-size dynamic k-TAA. In: De Prisco, R., Yung, M. (eds.) SCN 2006. LNCS, vol. 4116, pp. 111–125. Springer, Heidelberg (2006). https://doi.org/10.1007/11832072_8

    Chapter  Google Scholar 

  4. Yamamoto, D., Suga, Y., Sako, K.: Formalising linked-data based verifiable credentials for selective disclosure. In: 2022 IEEE European Symposium on Security and Privacy, Workshops (EuroS &PW), pp. 52–65 (2022)

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  5. Yamamoto, D.: ZKP-LD. GitHub Organization. https://github.com/zkp-ld

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Author information

Authors and Affiliations

  1. Department of Computer Science and Communication Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, Japan

    Ken Watanabe & Kazue Sako

Authors
  1. Ken Watanabe
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  2. Kazue Sako
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Corresponding author

Correspondence to Ken Watanabe .

Editor information

Editors and Affiliations

  1. Singapore University of Technology and Design, Singapore, Singapore

    Jianying Zhou

  2. Radboud University Nijmegen, Nijmegen, The Netherlands

    Lejla Batina

  3. Shandong University of Science and Technology, Qingdao, China

    Zengpeng Li

  4. University of Science and Technology of China, Hefei, China

    Jingqiang Lin

  5. University of Padua, Padua, Italy

    Eleonora Losiouk

  6. Concordia University, Montreal, QC, Canada

    Suryadipta Majumdar

  7. Illinois at Singapore Pte Ltd., Singapore, Singapore

    Daisuke Mashima

  8. Technical University Denmark, Kongens Lyngby, Denmark

    Weizhi Meng

  9. Radboud University Nijmegen, Nijmegen, The Netherlands

    Stjepan Picek

  10. Florida International University, Miami, FL, USA

    Mohammad Ashiqur Rahman

  11. Zhejiang Gongshang University, Hangzhou, China

    Jun Shao

  12. SECOM Co., Ltd., University of Tsukuba, Tokyo / Ibaraki, Japan

    Masaki Shimaoka

  13. Royal Holloway University of London, Egham, UK

    Ezekiel Soremekun

  14. University of Aizu, Aizuwakamatsu, Fukushima, Japan

    Chunhua Su

  15. Universiti Sains Malaysia, Gelugor, Malaysia

    Je Sen Teh

  16. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Aleksei Udovenko

  17. City University of Hong Kong, Hong Kong, Hong Kong

    Cong Wang

  18. Griffith University, Southport, QLD, Australia

    Leo Zhang

  19. Delft University of Technology, Delft, The Netherlands

    Yury Zhauniarovich

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Watanabe, K., Sako, K. (2023). POSTER: Using Verifiable Credentials for Authentication of UAVs in Logistics. In: Zhou, J., et al. Applied Cryptography and Network Security Workshops. ACNS 2023. Lecture Notes in Computer Science, vol 13907. Springer, Cham. https://doi.org/10.1007/978-3-031-41181-6_45

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  • DOI: https://doi.org/10.1007/978-3-031-41181-6_45

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-41180-9

  • Online ISBN: 978-3-031-41181-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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