Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators
- Autores
- Farías, Andrés Francisco; Farías, Andrés Alejandro; Montejano, Germán Antonio; Garis, Ana Gabriela; Riesco, Daniel Eduardo
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Various branches of science, such as cryptography, simulation and mathematics, use random or pseudo-random binary sequences. These values are obtained through the use of random or pseudo-random binary generators. These random strings must have a high period and high linear complexity, and must pass statistical randomness tests, to make sure they work. When making a generator, you need to think about all of the above things, and you need to check each step really carefully to make sure that the end result is good. If you combine cryptographic components, you might end up with an unsuitable generator. This project explains how to make a reliable Binary Generator. The generator we're proposing here is made up of two main parts: Self-Shrinking Generators, which are combined using four-variable Boolean functions and a majority function.
Red de Universidades con Carreras en Informática - Materia
-
Ciencias Informáticas
Self-Shrinking Generators
Modified Self-Shrinking Generators
LFSR
Cipher
Key
Boolean function - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/191362
Ver los metadatos del registro completo
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Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking GeneratorsFarías, Andrés FranciscoFarías, Andrés AlejandroMontejano, Germán AntonioGaris, Ana GabrielaRiesco, Daniel EduardoCiencias InformáticasSelf-Shrinking GeneratorsModified Self-Shrinking GeneratorsLFSRCipherKeyBoolean functionVarious branches of science, such as cryptography, simulation and mathematics, use random or pseudo-random binary sequences. These values are obtained through the use of random or pseudo-random binary generators. These random strings must have a high period and high linear complexity, and must pass statistical randomness tests, to make sure they work. When making a generator, you need to think about all of the above things, and you need to check each step really carefully to make sure that the end result is good. If you combine cryptographic components, you might end up with an unsuitable generator. This project explains how to make a reliable Binary Generator. The generator we're proposing here is made up of two main parts: Self-Shrinking Generators, which are combined using four-variable Boolean functions and a majority function.Red de Universidades con Carreras en Informática2025-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf913-922http://sedici.unlp.edu.ar/handle/10915/191362enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-8258-99-7info:eu-repo/semantics/reference/hdl/10915/189846info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-03-31T12:41:42Zoai:sedici.unlp.edu.ar:10915/191362Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-03-31 12:41:42.842SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| title |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| spellingShingle |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators Farías, Andrés Francisco Ciencias Informáticas Self-Shrinking Generators Modified Self-Shrinking Generators LFSR Cipher Key Boolean function |
| title_short |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| title_full |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| title_fullStr |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| title_full_unstemmed |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| title_sort |
Pseudo-Random Binary Generator Based on the Combination of Self-Shrinking Generators |
| dc.creator.none.fl_str_mv |
Farías, Andrés Francisco Farías, Andrés Alejandro Montejano, Germán Antonio Garis, Ana Gabriela Riesco, Daniel Eduardo |
| author |
Farías, Andrés Francisco |
| author_facet |
Farías, Andrés Francisco Farías, Andrés Alejandro Montejano, Germán Antonio Garis, Ana Gabriela Riesco, Daniel Eduardo |
| author_role |
author |
| author2 |
Farías, Andrés Alejandro Montejano, Germán Antonio Garis, Ana Gabriela Riesco, Daniel Eduardo |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Self-Shrinking Generators Modified Self-Shrinking Generators LFSR Cipher Key Boolean function |
| topic |
Ciencias Informáticas Self-Shrinking Generators Modified Self-Shrinking Generators LFSR Cipher Key Boolean function |
| dc.description.none.fl_txt_mv |
Various branches of science, such as cryptography, simulation and mathematics, use random or pseudo-random binary sequences. These values are obtained through the use of random or pseudo-random binary generators. These random strings must have a high period and high linear complexity, and must pass statistical randomness tests, to make sure they work. When making a generator, you need to think about all of the above things, and you need to check each step really carefully to make sure that the end result is good. If you combine cryptographic components, you might end up with an unsuitable generator. This project explains how to make a reliable Binary Generator. The generator we're proposing here is made up of two main parts: Self-Shrinking Generators, which are combined using four-variable Boolean functions and a majority function. Red de Universidades con Carreras en Informática |
| description |
Various branches of science, such as cryptography, simulation and mathematics, use random or pseudo-random binary sequences. These values are obtained through the use of random or pseudo-random binary generators. These random strings must have a high period and high linear complexity, and must pass statistical randomness tests, to make sure they work. When making a generator, you need to think about all of the above things, and you need to check each step really carefully to make sure that the end result is good. If you combine cryptographic components, you might end up with an unsuitable generator. This project explains how to make a reliable Binary Generator. The generator we're proposing here is made up of two main parts: Self-Shrinking Generators, which are combined using four-variable Boolean functions and a majority function. |
| publishDate |
2025 |
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2025-10 |
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