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Optimal parameter encoding based on worst case fisher information under a secrecy constraint
(Institute of Electrical and Electronics Engineers Inc., 2017)
In 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 ...
Average fisher information optimization for quantized measurements using additive independent noise
(IEEE, 2010)
Adding noise to nonlinear systems can enhance their performance. Additive noise benefits are observed also in parameter estimation problems based on quantized observations. In this study, the purpose is to find the optimal ...
ECRB-based optimal parameter encoding under secrecy constraints
(Institute of Electrical and Electronics Engineers, 2018)
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 ...
Estimation theoretic optimal encoding design for secure transmission of multiple parameters
(IEEE, 2019-08-15)
In 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 ...
Optimal parameter design for estimation theoretic secure broadcast
(IEEE, 2020)
In this letter, estimation theoretic secure broadcast of a random parameter is investigated. In the considered setting, each receiver device employs a fixed estimator and carries a certain security risk such that its ...