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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Main Authors: Evaristo José Madarro-Capó , Carlos Miguel Legón-Pérez , Omar Rojas, Guillermo Sosa-Gómez
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/20/9646
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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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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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