| Title | Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Besser, K., Lonnstrom, A., Jorswieck, E. A. |
| Conference Name | ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Keywords | autoencoder, AWGN channel, AWGN channels, channel coding, composability, eavesdropper, fading channel, finite block length, finite blocklength, industrial machine type communication, Metrics, multi-mode fiber, multimode fiber optical channel, multimode fiber wiretap channel, mutual information leakage, neural nets, neural network wiretap code design, optical fibre networks, optical receivers, Pareto improvement, Pareto optimisation, physical layer security, polar codes, polar wiretap codes, pubcrawl, Resiliency, secure code, telecommunication computing, telecommunication network reliability, telecommunication security, wiretap code |
| 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. |
| DOI | 10.1109/ICASSP40776.2020.9053933 |
| Citation Key | besser_neural_2020 |
Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels