Estimation theoretic optimal encoding design for secure transmission of multiple parameters

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buir.contributor.authorGöken, Çağrı
buir.contributor.authorGezici, Sinan
buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage4316en_US
dc.citation.issueNumber16en_US
dc.citation.spage4302en_US
dc.citation.volumeNumber67en_US
dc.contributor.authorGöken, Çağrıen_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorArıkan, Orhanen_US
dc.date.accessioned2020-02-05T06:47:45Z
dc.date.available2020-02-05T06:47:45Z
dc.date.issued2019-08-15
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, optimal deterministic encoding of a vector parameter is investigated in the presence of an eavesdropper. The objective is to minimize the expectation of the conditional Cramér-Rao bound at the intended receiver, while satisfying an individual secrecy constraint on the mean-squared error of estimating each parameter at the eavesdropper. The eavesdropper is modeled to employ the linear minimum mean-squared error estimator based on the noisy observation of the encoded parameter without being aware of encoding. First, the problem is formulated as a constrained optimization problem in the space of vector-valued functions. Then, two practical solution strategies are developed based on nonlinear individual encoding and affine joint encoding of parameters. Theoretical results on the solutions of the proposed strategies are provided for various scenarios on channel conditions and parameter distributions. Finally, numerical examples are presented to illustrate the performance of the proposed solution approaches.en_US
dc.description.provenanceSubmitted by Evrim Ergin (eergin@bilkent.edu.tr) on 2020-02-05T06:47:45Z No. of bitstreams: 1 Estimation_Theoretic_Optimal_Encoding_Design_for_Secure_Transmission_of_Multiple_Parameters.pdf: 3025276 bytes, checksum: 05401f9df80d4b98ba008282b40fb330 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-02-05T06:47:45Z (GMT). No. of bitstreams: 1 Estimation_Theoretic_Optimal_Encoding_Design_for_Secure_Transmission_of_Multiple_Parameters.pdf: 3025276 bytes, checksum: 05401f9df80d4b98ba008282b40fb330 (MD5) Previous issue date: 2019-08-15en
dc.identifier.doi10.1109/TSP.2019.2929921en_US
dc.identifier.eissn1941-0476
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/53074
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/TSP.2019.2929921en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectFisher information matrix (FIM)en_US
dc.subjectParameter estimationen_US
dc.subjectCramér-rao bound (CRB)en_US
dc.subjectSecrecyen_US
dc.subjectOptimizationen_US
dc.titleEstimation theoretic optimal encoding design for secure transmission of multiple parametersen_US
dc.typeArticleen_US

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