On Secure Communications Over Gaussian Wiretap Channels via Finite-Length Codes
Journal article, 2020

Practical codes for the Gaussian wiretap channel are designed aiming at satisfying information-theoretic metrics to ensure security against a passive eavesdropper (Eve). Specifically, a design criterion is introduced for the coset coding scheme in order to satisfy a strong secrecy condition described with the mutual information between the secret message and Eve's observation. In addition, mutual information neural estimation (MINE) powered from deep learning tools is applied in order to directly compute the information-theoretic security constraint, and verify the proposed solutions. It is shown that finite-length coset codes can indeed ensure secure transmission from an information-theoretic perspective.

AWGN channels

Encoding

Tools

Gaussian wiretap channel

Estimation

coset coding

mutual information neural estimation

Security

Measurement

Mutual information

information-theoretic secrecy

Author

Alireza Nooraiepour

Rutgers University

Sina Rezaei Aghdam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Tolga M. Duman

Bilkent University

IEEE Communications Letters

1089-7798 (ISSN)

Vol. 24 9 1904-1908

Subject Categories

Telecommunications

Information Systemes, Social aspects

Signal Processing

DOI

10.1109/LCOMM.2020.2994884

More information

Latest update

1/28/2021