Access structures for finding characteristic-dependent linear rank inequalities

Victor Peña-Macias

Kybernetika (2023)

  • Volume: 59, Issue: 2, page 198-208
  • ISSN: 0023-5954

Abstract

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Determining information ratios of access structures is an important problem in secret sharing. Information inequalities and linear rank inequalities play an important role for proving bounds on these ratios. Characteristic-dependent linear rank inequalities are rank inequalities which are true over vector spaces with specific field characteristic. In this paper, using ideas of secret sharing, we show a theorem that produces characteristic-dependent linear rank inequalities. These inequalities are then used for getting lower bounds on information ratios of some access structures in linear secret sharing.

How to cite

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Peña-Macias, Victor. "Access structures for finding characteristic-dependent linear rank inequalities." Kybernetika 59.2 (2023): 198-208. <http://eudml.org/doc/299055>.

@article{Peña2023,
abstract = {Determining information ratios of access structures is an important problem in secret sharing. Information inequalities and linear rank inequalities play an important role for proving bounds on these ratios. Characteristic-dependent linear rank inequalities are rank inequalities which are true over vector spaces with specific field characteristic. In this paper, using ideas of secret sharing, we show a theorem that produces characteristic-dependent linear rank inequalities. These inequalities are then used for getting lower bounds on information ratios of some access structures in linear secret sharing.},
author = {Peña-Macias, Victor},
journal = {Kybernetika},
keywords = {secret sharing; cryptography; access structures; matroids; complementary spaces; linear rank inequalities; entropy},
language = {eng},
number = {2},
pages = {198-208},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Access structures for finding characteristic-dependent linear rank inequalities},
url = {http://eudml.org/doc/299055},
volume = {59},
year = {2023},
}

TY - JOUR
AU - Peña-Macias, Victor
TI - Access structures for finding characteristic-dependent linear rank inequalities
JO - Kybernetika
PY - 2023
PB - Institute of Information Theory and Automation AS CR
VL - 59
IS - 2
SP - 198
EP - 208
AB - Determining information ratios of access structures is an important problem in secret sharing. Information inequalities and linear rank inequalities play an important role for proving bounds on these ratios. Characteristic-dependent linear rank inequalities are rank inequalities which are true over vector spaces with specific field characteristic. In this paper, using ideas of secret sharing, we show a theorem that produces characteristic-dependent linear rank inequalities. These inequalities are then used for getting lower bounds on information ratios of some access structures in linear secret sharing.
LA - eng
KW - secret sharing; cryptography; access structures; matroids; complementary spaces; linear rank inequalities; entropy
UR - http://eudml.org/doc/299055
ER -

References

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  6. Martín, S., Padró, C., Yang, A., , IEEE Trans. Inform. Theory 2 (2016), 1, 599-609. MR3448000DOI
  7. Padró, C., Lecture notes in secret sharing., Cryptology ePrint Archive: Report (2012), 674. 
  8. Peña-Macias, V., Sarria, H., , J. Inform. Optim. Sci. 42 (2021), 2, 345-369. DOI
  9. Peña-Macias, V., Sarria, H., , Rev. Acad. Colomb. Cienc. Ex. Fis. Nat. 43 (2019), 169, 76-5-770. MR4048871DOI
  10. Shen, A., Hammer, D., Romashchenko, A. E., Vereshchagin, N. K., , J. Computer Systems Sci. 60 (2000), 442-464. MR1785025DOI

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