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Anti-counterfeiting, key distribution, and key storage in an ambient world via physical unclonable functions

Author

Listed:
  • Jorge Guajardo

    (Philips Research Europe)

  • Boris Škorić

    (Philips Research Europe)

  • Pim Tuyls

    (Philips Research Europe)

  • Sandeep S. Kumar

    (Philips Research Europe)

  • Thijs Bel

    (Philips Research Europe)

  • Antoon H. M. Blom

    (Philips Applied Technologies)

  • Geert-Jan Schrijen

    (Philips Research Europe)

Abstract

Virtually all applications which provide or require a security service need a secret key. In an ambient world, where (potentially) sensitive information is continually being gathered about us, it is critical that those keys be both securely deployed and safeguarded from compromise. In this paper, we provide solutions for secure key deployment and storage of keys in sensor networks and radio frequency identification systems based on the use of Physical Unclonable Functions (PUFs). In addition, to providing an overview of different existing PUF realizations, we introduce a PUF realization aimed at ultra-low cost applications. We then show how the properties of Fuzzy Extractors or Helper Data algorithms can be used to securely deploy secret keys to a low cost wireless node. Our protocols are more efficient (round complexity) and allow for lower costs compared to previously proposed ones. We also provide an overview of PUF applications aimed at solving the counterfeiting of goods and devices.

Suggested Citation

  • Jorge Guajardo & Boris Škorić & Pim Tuyls & Sandeep S. Kumar & Thijs Bel & Antoon H. M. Blom & Geert-Jan Schrijen, 2009. "Anti-counterfeiting, key distribution, and key storage in an ambient world via physical unclonable functions," Information Systems Frontiers, Springer, vol. 11(1), pages 19-41, March.
    • Handle: RePEc:spr:infosf:v:11:y:2009:i:1:d:10.1007_s10796-008-9142-z
    DOI: 10.1007/s10796-008-9142-z
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    Citations

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    Cited by:

    1. Satyen Mukherjee & Emile Aarts & Terry Doyle, 2009. "Special issue on Ambient Intelligence," Information Systems Frontiers, Springer, vol. 11(1), pages 1-5, March.
    2. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    3. Anne M. Luescher & Andreas L. Gimpel & Wendelin J. Stark & Reinhard Heckel & Robert N. Grass, 2024. "Chemical unclonable functions based on operable random DNA pools," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Xiong Zhang & Xin Zhang & Xuechen Luo & Wei T. Yue, 2022. "The Impact of Revenue Models on Anti-Counterfeiting Measures for Online Intermediaries," Information Systems Frontiers, Springer, vol. 24(6), pages 1905-1928, December.

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