Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Fingerprinting light emitting diodes using spectrometer

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

Fingerprinting refers to a class of techniques to distinguish products using their unique features originated during production. Fingerprinting has a wide range of applications including supply-chain integrity and device authentication. The authors propose the first fingerprinting technique of light-emitting diode (LED), which is pervasively used in electronics products. The key idea is to use spectral features of LEDs obtained by a spectrometer. Combined with a machine-learning classifier, the proposed method successfully distinguishes ten individual LED samples from the same lot at 99% accuracy.

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

    1. 1)
      • 4. Danev, B.D.: ‘Physical-Layer Identification of Wireless Devices’. PhD thesis, ETH Zurich, 2011.
    2. 2)
      • 6. Plank, H., Holweg, G., Steger, C., et al: ‘Time-of-flight based optical communication for safety-critical applications in autonomous driving’. Computer Safety, Reliability, and Security (SAFECOMP 2016), Trondheim, Norway, September 2016, pp. 183–194.
    3. 3)
    4. 4)
      • 7. Hamamatsu ‘Mini-Spectrometer Micro Series C12666MA Datasheet’, 2019.
    5. 5)
      • 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.
    6. 6)
      • 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.
    7. 7)
      • 5. Schubert, E.F.: ‘Light-emitting diodes’ (Cambridge University Press, Cambridge, UK, 2006, 2nd edn.).
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2019.1908
Loading

Related content

content/journals/10.1049/el.2019.1908
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Correspondence
This article has following corresponding article(s):
spotting light
Print this page
This is a required field
Please enter a valid email address