Optimal parameter encoding based on worst case fisher information under a secrecy constraint

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buir.contributor.authorGezici, Sinan
dc.citation.epage1615en_US
dc.citation.issueNumber11en_US
dc.citation.spage1611en_US
dc.citation.volumeNumber24en_US
dc.contributor.authorGöken, Ç.en_US
dc.contributor.authorGezici, Sinanen_US
dc.date.accessioned2018-04-12T11:03:15Z
dc.date.available2018-04-12T11:03:15Z
dc.date.issued2017en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this letter, optimal deterministic encoding of a uniformly distributed scalar parameter is performed in the presence of an eavesdropper. The objective is to maximize the worst case Fisher information of the parameter at the intended receiver while keeping the mean-squared error (MSE) at the eavesdropper above a certain level. The eavesdropper is modeled to employ the linear minimum MSE estimator based on the encoded version of the parameter. First, the optimal encoding function is derived when there exist no secrecy constraints. Next, to obtain the solution of the problem in the presence of the secrecy constraint, the form of the encoding function that maximizes the MSE at the eavesdropper is explicitly derived for any given level of worst case Fisher information. Then, based on this result, a low-complexity algorithm is provided to calculate the optimal encoding function for the given secrecy constraint. Finally, numerical examples are presented.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:03:15Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017en
dc.identifier.doi10.1109/LSP.2017.2749517en_US
dc.identifier.issn1070-9908
dc.identifier.urihttp://hdl.handle.net/11693/37116
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/LSP.2017.2749517en_US
dc.source.titleIEEE Signal Processing Lettersen_US
dc.subjectFisher informationen_US
dc.subjectMean-squared error (MSE)en_US
dc.subjectOptimizationen_US
dc.subjectParameter estimationen_US
dc.subjectSecrecyen_US
dc.titleOptimal parameter encoding based on worst case fisher information under a secrecy constrainten_US
dc.typeArticleen_US

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