Fingerprinting light emitting diodes using spectrometer
- Author(s): A. Toh 1 ; L. Yang 1 ; K. Sakiyama 1 ; T. Sugawara 1
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View affiliations
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Affiliations:
1:
University of Electro-Communications , Tokyo , Japan
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Affiliations:
1:
University of Electro-Communications , Tokyo , Japan
- Source:
Volume 55, Issue 24,
28
November
2019,
p.
1295 – 1297
DOI: 10.1049/el.2019.1908 , Print ISSN 0013-5194, Online ISSN 1350-911X
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received
06/06/2019,
Published
11/10/2019
Errata or comment

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Inspec keywords: fingerprint identification; supply chain management; learning (artificial intelligence); light emitting diodes
Other keywords: individual LED samples; fingerprinting technique; spectral features; fingerprinting light emitting diodes; supply-chain integrity; machine-learning classifier; device authentication; electronics products; light-emitting diode; spectrometer
Subjects: Computer vision and image processing techniques; Knowledge engineering techniques; Image recognition; Light emitting diodes
References
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4. Danev, B.D.: ‘Physical-Layer Identification of Wireless Devices’. PhD thesis, ETH Zurich, 2011.
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1. Buchanan, J.D.R., Cowburn, R., Jausovec, A.V., et al: ‘Forgery: fingerprinting documents and packaging’, Nature, 2005, 436, (7050), p. 475 (doi: 10.1038/436475a).
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7. Hamamatsu ‘Mini-Spectrometer Micro Series C12666MA Datasheet’, 2019.
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2. Clarkson, W., Weyrich, T., Finkelstein, A., et al: ‘Fingerprinting blank paper using commodity scanners’. IEEE Symp. on Security and Privacy, Berkeley, CA, USA, May 2009, pp. 301–314.
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3. Takahashi, T., Ishiyama, R.: ‘FIBAR: Fingerprint imaging by binary angular reflection for individual identification of metal parts’. 2014 Fifth Int. Conf. on Emerging Security Technologies, Alcala de Henares, Spain, September 2014, pp. 46–51.
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5. Schubert, E.F.: ‘Light-emitting diodes’ (Cambridge University Press, Cambridge, UK, 2006, 2nd edn.).
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