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  • Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels

Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels

The design of reliable and secure codes with finite block length is an important requirement for industrial machine type communications. In this work, we develop an autoencoder for the multi-mode fiber wiretap channel taking into account the error performance at the legitimate receiver and the information leakage at potential eavesdroppers. The estimate of the mutual information leakage includes AWGN and fading channels. The code design is tailored to the specific channel setup where the eavesdropper experiences a mode dependent loss. Numerical simulations illustrate the performance and show a Pareto improvement of the proposed scheme compared to the state-of-the-art polar wiretap codes.

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Conference:
ICASSP 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, Barcelona, 04-08 May 2020
Appears in:
ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(2020), p. 8738-8742
Date Issued:
2020
URN:
urn:nbn:de:gbv:084-2023011113175
DOI:
10.24355/dbbs.084-202301111256-0
Language:
English
Type of Resource:
Text
Extent:
5 Seiten
Place Term:
Piscataway Township, NJ
Publisher:
IEEE
Keywords:
  1. autoencoder
    Typ
    Schlagwort
  2. finite blocklength
    Typ
    Schlagwort
  3. wiretap code
    Typ
    Schlagwort
  4. physical layer security
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    Schlagwort
  5. multi-mode fiber
    Typ
    Schlagwort
DDC:
621.3 Elekto-, magnetische, optische, Kommunikations- und Computertechnik, Elektronik, Beleuchtung
Location:
Publications of TU Braunschweig
Link to Raw Object:
https://doi.org/10.1109/ICASSP40776.2020.9053933
Hosting institution:
05 - Electrical Engineering, Information Technology, Physics

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