On secure communications over gaussian wiretap channels via finite-length codes

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buir.contributor.authorDuman, Tolga M.
dc.citation.epage1908en_US
dc.citation.issueNumber9en_US
dc.citation.spage1904en_US
dc.citation.volumeNumber24en_US
dc.contributor.authorNooraiepour, A.
dc.contributor.authorAghdam, S. R.
dc.contributor.authorDuman, Tolga M.
dc.date.accessioned2021-02-18T07:06:54Z
dc.date.available2021-02-18T07:06:54Z
dc.date.issued2020
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractPractical 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.en_US
dc.identifier.doi10.1109/LCOMM.2020.2994884en_US
dc.identifier.issn1089-7798
dc.identifier.urihttp://hdl.handle.net/11693/75421
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/LCOMM.2020.2994884en_US
dc.source.titleIEEE Communications Lettersen_US
dc.subjectGaussian wiretap channelen_US
dc.subjectInformationtheoretic secrecyen_US
dc.subjectCoset codingen_US
dc.subjectMutual information neural estimationen_US
dc.titleOn secure communications over gaussian wiretap channels via finite-length codesen_US
dc.typeArticleen_US

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