Estimation theoretic secure communication via encoder randomization

buir.contributor.authorGöken, Çağrı
buir.contributor.authorGezici, Sinan
dc.citation.epage6120en_US
dc.citation.issueNumber23en_US
dc.citation.spage6105en_US
dc.citation.volumeNumber67en_US
dc.contributor.authorGöken, Çağrıen_US
dc.contributor.authorGezici, Sinanen_US
dc.date.accessioned2020-02-05T07:49:34Z
dc.date.available2020-02-05T07:49:34Z
dc.date.issued2019-12-01
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractEstimation theoretic secure transmission of a scalar random parameter is investigated in the presence of an eavesdropper. The aim is to minimize the estimation error at the receiver under a secrecy constraint at the eavesdropper; or, alternatively, to maximize the estimation error at the eavesdropper for a given estimation accuracy limit at the receiver. In the considered setting, the encoder at the transmitter is allowed to use a randomized mapping between two one-to-one and continuous functions and the eavesdropper is fully aware of the encoding strategy at the transmitter. For small numbers of observations, both the eavesdropper and the receiver are modeled to employ linear minimum mean-squared error (LMMSE) estimators, and for large numbers of observations, the expectation of the conditional Cramér-Rao bound (ECRB) metric is employed for both the receiver and the eavesdropper. Optimization problems are formulated and various theoretical results are provided in order to obtain the optimal solutions and to analyze the effects of encoder randomization. In addition, numerical examples are presented to corroborate the theoretical results. It is observed that stochastic encoding can bring significant performance gains for estimation theoretic secrecy problems.en_US
dc.identifier.doi10.1109/TSP.2019.2951231en_US
dc.identifier.eissn1941-0476
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/53079
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/TSP.2019.2951231en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectEstimationen_US
dc.subjectSecrecyen_US
dc.subjectGaussian wiretap channelen_US
dc.subjectOptimizationen_US
dc.subjectInternet of Things (IoT)en_US
dc.titleEstimation theoretic secure communication via encoder randomizationen_US
dc.typeArticleen_US

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