Measuring Avalanche Properties on RC4 Stream Cipher Variants
In the last three decades, the RC4 has been the most cited stream cipher, due to a large amount of research carried out on its operation. In this sense, dissimilar works have been presented on its performance, security, and usability. One of the distinguishing features that stand out the most is the...
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MDPI AG
2021-10-01
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author | Evaristo José Madarro-Capó Carlos Miguel Legón-Pérez Omar Rojas Guillermo Sosa-Gómez |
author_facet | Evaristo José Madarro-Capó Carlos Miguel Legón-Pérez Omar Rojas Guillermo Sosa-Gómez |
author_sort | Evaristo José Madarro-Capó |
collection | DOAJ |
description | In the last three decades, the RC4 has been the most cited stream cipher, due to a large amount of research carried out on its operation. In this sense, dissimilar works have been presented on its performance, security, and usability. One of the distinguishing features that stand out the most is the sheer number of RC4 variants proposed. Recently, a weakness has been reported regarding the existence of statistical dependence between the inputs and outputs of the RC4, based on the use of the strict avalanche criterion and the bit independence criterion. This work analyzes the influence of this weakness in some of its variants concerning RC4. The five best-known variants of RC4 were compared experimentally and classified into two groups according to the presence or absence of such a weakness. |
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institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T06:44:13Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-48f5ea1a9dfb414eb71157e5e816d9f42023-11-22T17:22:05ZengMDPI AGApplied Sciences2076-34172021-10-011120964610.3390/app11209646Measuring Avalanche Properties on RC4 Stream Cipher VariantsEvaristo José Madarro-Capó 0Carlos Miguel Legón-Pérez 1Omar Rojas2Guillermo Sosa-Gómez3Instituto de Criptografía, Facultad de Matemática y Computación, Universidad de la Habana, Habana 10400, CubaInstituto de Criptografía, Facultad de Matemática y Computación, Universidad de la Habana, Habana 10400, CubaFacultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, MexicoFacultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Jalisco, MexicoIn the last three decades, the RC4 has been the most cited stream cipher, due to a large amount of research carried out on its operation. In this sense, dissimilar works have been presented on its performance, security, and usability. One of the distinguishing features that stand out the most is the sheer number of RC4 variants proposed. Recently, a weakness has been reported regarding the existence of statistical dependence between the inputs and outputs of the RC4, based on the use of the strict avalanche criterion and the bit independence criterion. This work analyzes the influence of this weakness in some of its variants concerning RC4. The five best-known variants of RC4 were compared experimentally and classified into two groups according to the presence or absence of such a weakness.https://www.mdpi.com/2076-3417/11/20/9646SACBICRC4 variantsstream cipherstatistical dependence |
spellingShingle | Evaristo José Madarro-Capó Carlos Miguel Legón-Pérez Omar Rojas Guillermo Sosa-Gómez Measuring Avalanche Properties on RC4 Stream Cipher Variants Applied Sciences SAC BIC RC4 variants stream cipher statistical dependence |
title | Measuring Avalanche Properties on RC4 Stream Cipher Variants |
title_full | Measuring Avalanche Properties on RC4 Stream Cipher Variants |
title_fullStr | Measuring Avalanche Properties on RC4 Stream Cipher Variants |
title_full_unstemmed | Measuring Avalanche Properties on RC4 Stream Cipher Variants |
title_short | Measuring Avalanche Properties on RC4 Stream Cipher Variants |
title_sort | measuring avalanche properties on rc4 stream cipher variants |
topic | SAC BIC RC4 variants stream cipher statistical dependence |
url | https://www.mdpi.com/2076-3417/11/20/9646 |
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