ECRB-based optimal parameter encoding under secrecy constraints
buir.contributor.author | Gezici, Sinan | |
buir.contributor.author | Göken, Çağrı | |
dc.citation.epage | 3570 | en_US |
dc.citation.issueNumber | 13 | en_US |
dc.citation.spage | 3556 | en_US |
dc.citation.volumeNumber | 66 | en_US |
dc.contributor.author | Göken, Çağrı | en_US |
dc.contributor.author | Gezici, Sinan | en_US |
dc.date.accessioned | 2019-02-21T16:06:01Z | en_US |
dc.date.available | 2019-02-21T16:06:01Z | en_US |
dc.date.issued | 2018 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | In this paper, optimal deterministic encoding of a scalar parameter is investigated in the presence of an eavesdropper. The aim is to minimize the expectation of the conditional Cramér-Rao bound at the intended receiver while keeping the mean-squared error (MSE) at the eavesdropper above a certain threshold. First, optimal encoding functions are derived in the absence of secrecy constraints for any given prior distribution on the parameter. Next, an optimization problem is formulated under a secrecy constraint and various solution approaches are proposed. Also, theoretical results on the form of the optimal encoding function are provided under the assumption that the eavesdropper employs a linear minimum mean-squared error (MMSE) estimator. Numerical examples are presented to illustrate the theoretical results and to investigate the performance of the proposed solution approaches. | en_US |
dc.description.provenance | Made available in DSpace on 2019-02-21T16:06:01Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018 | en |
dc.identifier.doi | 10.1109/TSP.2018.2833802 | en_US |
dc.identifier.eissn | 1941-0476 | en_US |
dc.identifier.issn | 1053-587X | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/50287 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.relation.isversionof | https://doi.org/10.1109/TSP.2018.2833802 | en_US |
dc.source.title | IEEE Transactions on Signal Processing | en_US |
dc.subject | Cramer-Rao bound (CRB) | en_US |
dc.subject | Optimization | en_US |
dc.subject | Parameter estimation | en_US |
dc.subject | Secrecy | en_US |
dc.title | ECRB-based optimal parameter encoding under secrecy constraints | en_US |
dc.type | Article | en_US |
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