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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/269355
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dc.contributor.authorKharin, Yu.
dc.contributor.authorVecherko, E.
dc.date.accessioned2021-09-24T08:50:40Z-
dc.date.available2021-09-24T08:50:40Z-
dc.date.issued2020
dc.identifier.citationТеоретическая и прикладная криптография : материалы междунар. науч. конф., Минск, 20-21 окт. 2020 г. / Белорус. гос. ун-т ; редкол.: Ю. С. Харин (гл. ред.) [и др.]. – Минск : БГУ, 2020. – С. 121-130.
dc.identifier.isbn978-985-566-924-2
dc.identifier.urihttps://elib.bsu.by/handle/123456789/269355-
dc.description.abstractThis paper is concerned with topical problems in steganography on detection of embeddings and statistical estimation of the models parameters. Binary stationary Markov chains with known and unknown parameters are used as mathematical models of cover-sequences. ML-estimators for models parameters are constructed. Statistical tests for detecting embeddings are constructed based on run statistic, short run statistic and likelihood ratio statistic. For a family of contiguous alternatives the asymptotic power of tests based on run statistics is found. A polynomial algorithm is developed for the statistical estimation of the positions of embeddings. Two approaches for evaluating security of steganographic schemes are proposed
dc.language.isoen
dc.publisherМинск : БГУ
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
dc.titleStatistical Inferences on Embeddings in Steganography
dc.typeconference paper
Appears in Collections:2020. Теоретическая и прикладная криптография

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