On Secure Communications Over Gaussian Wiretap Channels via Finite-Length Codes
Artikel i vetenskaplig tidskrift, 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.

Mutual information

Tools

Measurement

AWGN channels

Encoding

Gaussian wiretap channel

Estimation

coset coding

information-theoretic secrecy

Security

mutual information neural estimation

Författare

Alireza Nooraiepour

Rutgers University

Sina Rezaei Aghdam

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Tolga M. Duman

Bilkent Universitesi

IEEE Communications Letters

1089-7798 (ISSN)

Vol. 24 9 1904-1908

Ämneskategorier

Telekommunikation

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

Signalbehandling

DOI

10.1109/LCOMM.2020.2994884

Mer information

Senast uppdaterat

2020-10-26