Deep learning based wiretap coding via mutual information estimation

Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Recently, deep learning of encoding and decoding functions for wireless communication has emerged as a promising research direction and gained considerable interest due to its impressive results. A specific direction in this growing field are neural network-aided techniques that work without a fixed channel model. These approaches utilize generative adversarial networks, reinforcement learning, or mutual information estimation to overcome the need of a known channel model for training. This paper focuses on the last approach and extend it to secure channel coding schemes by sampling the legitimate channel and additionally introduce security constraints for communication. This results in a mixed optimization between the mutual information estimate, the reliability of the code and its secrecy constraint. It is believed that this lays the foundation for flexible, generalizable physical layer security approaches due to its independence of specific model assumptions.

Original languageEnglish
Title of host publicationWiseML 2020 - Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning
PublisherAssociation for Computing Machinery
Pages74-79
Number of pages6
ISBN (Electronic)9781450380072
DOIs
StatePublished - 13 Jul 2020
Externally publishedYes
Event2nd ACM Workshop on Wireless Security and Machine Learning, WiseML 2020 - Linz, Virtual, Austria
Duration: 13 Jul 2020 → …

Publication series

NameWiseML 2020 - Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning

Conference

Conference2nd ACM Workshop on Wireless Security and Machine Learning, WiseML 2020
Country/TerritoryAustria
CityLinz, Virtual
Period13/07/20 → …

Keywords

  • autoencoder
  • deep learning
  • mutual information estimation
  • physical layer security
  • secure encoding

Fingerprint

Dive into the research topics of 'Deep learning based wiretap coding via mutual information estimation'. Together they form a unique fingerprint.

Cite this