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
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/57266
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/57266
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling 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:UNLP2025-10-15T10:58:47Zoai: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:13292025-10-15 10:58:48.174SEDICI (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)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.22299

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