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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

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.

Details

OriginalspracheEnglisch
TitelICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Herausgeber (Verlag)IEEE
Seiten8738-8742
Seitenumfang5
ISBN (Print)978-1-5090-6632-2
PublikationsstatusVeröffentlicht - 8 Mai 2020
Peer-Review-StatusJa

Konferenz

TitelICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Dauer4 - 8 Mai 2020
OrtBarcelona, Spain

Externe IDs

Scopus 85089224631

Schlagworte

Schlagwörter

  • Optical fibers, Optical design, Optical computing, Optical fiber networks, Numerical simulation, Optical receivers, Optical signal processing