Probability References to Apply in the Detection of Anomalous Public Key Infrastructures
- Autores
- Castro Lechtaler, Antonio; Cipriano, Marcelo; Malvacio, Eduardo
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This article calculates the theoretical probability of finding repeated primes in a given sample of unbiased issued digital certificates. These values can be used as reference for developing a statistical procedure to audit and control the behavioral pattern of a Public Key Infrastructure (PKI), thus allowing the detection of operational anomalies and the prevention of vulnerabilities of this nature.
Facultad de Informática - Materia
-
Ciencias Informáticas
PKI
RSA
digital certificates - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/3.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/57266
Ver los metadatos del registro completo
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Probability References to Apply in the Detection of Anomalous Public Key InfrastructuresCastro Lechtaler, AntonioCipriano, MarceloMalvacio, EduardoCiencias InformáticasPKIRSAdigital certificatesThis article calculates the theoretical probability of finding repeated primes in a given sample of unbiased issued digital certificates. These values can be used as reference for developing a statistical procedure to audit and control the behavioral pattern of a Public Key Infrastructure (PKI), thus allowing the detection of operational anomalies and the prevention of vulnerabilities of this nature.Facultad de Informática2016-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf84-88http://sedici.unlp.edu.ar/handle/10915/57266enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2016/12/JCST-43-Paper-3.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:06:17Zoai:sedici.unlp.edu.ar:10915/57266Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:06:18.175SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
title |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
spellingShingle |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures Castro Lechtaler, Antonio Ciencias Informáticas PKI RSA digital certificates |
title_short |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
title_full |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
title_fullStr |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
title_full_unstemmed |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
title_sort |
Probability References to Apply in the Detection of Anomalous Public Key Infrastructures |
dc.creator.none.fl_str_mv |
Castro Lechtaler, Antonio Cipriano, Marcelo Malvacio, Eduardo |
author |
Castro Lechtaler, Antonio |
author_facet |
Castro Lechtaler, Antonio Cipriano, Marcelo Malvacio, Eduardo |
author_role |
author |
author2 |
Cipriano, Marcelo Malvacio, Eduardo |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas PKI RSA digital certificates |
topic |
Ciencias Informáticas PKI RSA digital certificates |
dc.description.none.fl_txt_mv |
This article calculates the theoretical probability of finding repeated primes in a given sample of unbiased issued digital certificates. These values can be used as reference for developing a statistical procedure to audit and control the behavioral pattern of a Public Key Infrastructure (PKI), thus allowing the detection of operational anomalies and the prevention of vulnerabilities of this nature. Facultad de Informática |
description |
This article calculates the theoretical probability of finding repeated primes in a given sample of unbiased issued digital certificates. These values can be used as reference for developing a statistical procedure to audit and control the behavioral pattern of a Public Key Infrastructure (PKI), thus allowing the detection of operational anomalies and the prevention of vulnerabilities of this nature. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/57266 |
url |
http://sedici.unlp.edu.ar/handle/10915/57266 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/2016/12/JCST-43-Paper-3.pdf info:eu-repo/semantics/altIdentifier/issn/1666-6038 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported (CC BY 3.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/3.0/ Creative Commons Attribution 3.0 Unported (CC BY 3.0) |
dc.format.none.fl_str_mv |
application/pdf 84-88 |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
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SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
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UNLP |
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UNLP |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
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score |
13.070432 |