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Information Theory Based Evaluation of the RC4 Stream Cipher Outputs

This paper presents a criterion, based on information theory, to measure the amount of average information provided by the sequences of outputs of the RC4 on the internal state. The test statistic used is the sum of the maximum plausible estimates of the entropies [Formula: see text] , corresponding...

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Autores principales: Madarro-Capó , Evaristo José, Legón-Pérez , Carlos Miguel, Rojas, Omar, Sosa-Gómez, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306200/
https://www.ncbi.nlm.nih.gov/pubmed/34356437
http://dx.doi.org/10.3390/e23070896
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author Madarro-Capó , Evaristo José
Legón-Pérez , Carlos Miguel
Rojas, Omar
Sosa-Gómez, Guillermo
author_facet Madarro-Capó , Evaristo José
Legón-Pérez , Carlos Miguel
Rojas, Omar
Sosa-Gómez, Guillermo
author_sort Madarro-Capó , Evaristo José
collection PubMed
description This paper presents a criterion, based on information theory, to measure the amount of average information provided by the sequences of outputs of the RC4 on the internal state. The test statistic used is the sum of the maximum plausible estimates of the entropies [Formula: see text] , corresponding to the probability distributions [Formula: see text] of the sequences of random variables [Formula: see text] and [Formula: see text] , independent, but not identically distributed, where [Formula: see text] are the known values of the outputs, while [Formula: see text] is one of the unknown elements of the internal state of the RC4. It is experimentally demonstrated that the test statistic allows for determining the most vulnerable RC4 outputs, and it is proposed to be used as a vulnerability metric for each RC4 output sequence concerning the iterative probabilistic attack.
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spelling pubmed-83062002021-07-25 Information Theory Based Evaluation of the RC4 Stream Cipher Outputs Madarro-Capó , Evaristo José Legón-Pérez , Carlos Miguel Rojas, Omar Sosa-Gómez, Guillermo Entropy (Basel) Article This paper presents a criterion, based on information theory, to measure the amount of average information provided by the sequences of outputs of the RC4 on the internal state. The test statistic used is the sum of the maximum plausible estimates of the entropies [Formula: see text] , corresponding to the probability distributions [Formula: see text] of the sequences of random variables [Formula: see text] and [Formula: see text] , independent, but not identically distributed, where [Formula: see text] are the known values of the outputs, while [Formula: see text] is one of the unknown elements of the internal state of the RC4. It is experimentally demonstrated that the test statistic allows for determining the most vulnerable RC4 outputs, and it is proposed to be used as a vulnerability metric for each RC4 output sequence concerning the iterative probabilistic attack. MDPI 2021-07-14 /pmc/articles/PMC8306200/ /pubmed/34356437 http://dx.doi.org/10.3390/e23070896 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Madarro-Capó , Evaristo José
Legón-Pérez , Carlos Miguel
Rojas, Omar
Sosa-Gómez, Guillermo
Information Theory Based Evaluation of the RC4 Stream Cipher Outputs
title Information Theory Based Evaluation of the RC4 Stream Cipher Outputs
title_full Information Theory Based Evaluation of the RC4 Stream Cipher Outputs
title_fullStr Information Theory Based Evaluation of the RC4 Stream Cipher Outputs
title_full_unstemmed Information Theory Based Evaluation of the RC4 Stream Cipher Outputs
title_short Information Theory Based Evaluation of the RC4 Stream Cipher Outputs
title_sort information theory based evaluation of the rc4 stream cipher outputs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306200/
https://www.ncbi.nlm.nih.gov/pubmed/34356437
http://dx.doi.org/10.3390/e23070896
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