Fingerprinting light emitting diodes using spectrometer. Issue 24 (1st November 2019)

• Record Type: Journal Article
• Authors: Toh, A.; Yang, L.; Sakiyama, K.; Sugawara, T.
• Is Part Of: Electronics letters. Volume 55:Issue 24(2019)
• Page Start: 1295
• Page End: 1297
• Publication Date: 2019-11-01
• Subjects: light emitting diodes -- fingerprint identification -- learning (artificial intelligence) -- supply chain management; light‐emitting diode -- electronics products -- spectrometer -- individual LED samples -- fingerprinting light emitting diodes -- supply‐chain integrity -- device authentication -- fingerprinting technique -- machine‐learning classifier -- spectral features; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2019.1908
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.