Skip to main content
Article
Unclonable Optical Fiber Identification Based on Rayleigh Backscattering Signatures
Journal of Lightwave Technology
  • Yang Du
  • Sasi Jothibasu
  • Yiyang Zhuang
  • Chen Zhu
  • Jie Huang, Missouri University of Science and Technology
Abstract

We report a concept of using Rayleigh backscattering signature based unclonable optical fiber identification (OFID) for security-based applications. Due to the inherent manufacturing features of optical fibers, the random Rayleigh backscattering pattern within an optical fiber can be used for identification. We also experimentally demonstrated the OFID idea. Cross correlation in the spatial domain and encoding techniques are applied to verify the authenticity of OFID. Also, it has been demonstrated that the proposed OFID device can survive the high-temperature harsh environment. This robust, reliable, and flexible OFID method has great potential for a variety of applications, such as security, recognition, encryption, identification, and authentication. .

Department(s)
Electrical and Computer Engineering
Sponsor(s)
University of Missouri Research Board
Missouri University of Science and Technology. Materials Research Center
Missouri University of Science and Technology. Intelligent Systems Center
Comments
This work was supported in part by the University of Missouri Research Board, in part by the Materials Research Center at Missouri S&T, and in part by the ISC Center Postdoc Matching Funds at Missouri S&T.
Keywords and Phrases
  • Authentication,
  • Backscattering,
  • Fiber optic sensors,
  • Fibers,
  • Frequency domain analysis,
  • Network security,
  • Optical fibers,
  • Rayleigh scattering,
  • Cross correlations,
  • Encoding techniques,
  • Fiber identifications,
  • Harsh environment,
  • Manufacturing features,
  • Optical reflection,
  • Optical security,
  • Rayleigh backscattering,
  • Cryptography,
  • Encryption
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
11-1-2017
Publication Date
01 Nov 2017
Citation Information
Yang Du, Sasi Jothibasu, Yiyang Zhuang, Chen Zhu, et al.. "Unclonable Optical Fiber Identification Based on Rayleigh Backscattering Signatures" Journal of Lightwave Technology Vol. 35 Iss. 21 (2017) p. 4634 - 4640 ISSN: 0733-8724
Available at: http://works.bepress.com/jie-huang/86/