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Local Approximation of Secrecy Capacity
March 21, 2024, 4:10 a.m. | Emmanouil M. Athanasakos, Nicholas Kalouptsidis, Hariprasad Manjunath
cs.CR updates on arXiv.org arxiv.org
Abstract: This paper uses Euclidean Information Theory (EIT) to analyze the wiretap channel. We investigate a scenario of efficiently transmitting a small amount of information subject to compression rate and secrecy constraints. We transform the information-theoretic problem into a linear algebra problem and obtain the perturbed probability distributions such that secrecy is achievable. Local approximations are being used in order to obtain an estimate of the secrecy capacity by solving a generalized eigenvalue problem.
algebra arxiv channel compression constraints cs.cr cs.it distributions information linear local math.it problem rate scenario secrecy theory transform wiretap
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