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.
AWGN channels
Encoding
Tools
Gaussian wiretap channel
Estimation
coset coding
mutual information neural estimation
Security
Measurement
Mutual information
information-theoretic secrecy
Författare
Alireza Nooraiepour
Rutgers University
Sina Rezaei Aghdam
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Tolga M. Duman
Bilkent Universitesi
IEEE Communications Letters
1089-7798 (ISSN) 15582558 (eISSN)
Vol. 24 9 1904-1908 9093879Ämneskategorier
Telekommunikation
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Signalbehandling
DOI
10.1109/LCOMM.2020.2994884