Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments

Autores
Zanellato, Claudio; Cañibano, Rodrigo; Balladini, Javier
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
ALERTAR system aims to assist healthcare providers in identifying early clinical deterioration in hospitalized patients on general wards. Its cloud-fog-edge architecture uses only mobile devices at the fog and edge levels to simplify its operability. As a critical healthcare system, it is of utmost importance to provide resilience across multiple layers of the architecture. To tolerate faults, the system can dynamically migrate devices between the fog and edge layers. This work focuses on describing an automated and secure login method for this system. To reduce user intervention and simplify system use, the login process has been automated by storing session credentials and utilizing a fog-level device discovery process. The design of the login mechanism is aligned with the strict security requirements of the system, considering the sensitivity of the data and the criticality of the service. This is a work in progress so performance evaluations are still pending.
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Early Warning System
Cloud-Fog-Edge
Resilient mHealth System
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/182609
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/182609
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital EnvironmentsZanellato, ClaudioCañibano, RodrigoBalladini, JavierCiencias InformáticasEarly Warning SystemCloud-Fog-EdgeResilient mHealth SystemALERTAR system aims to assist healthcare providers in identifying early clinical deterioration in hospitalized patients on general wards. Its cloud-fog-edge architecture uses only mobile devices at the fog and edge levels to simplify its operability. As a critical healthcare system, it is of utmost importance to provide resilience across multiple layers of the architecture. To tolerate faults, the system can dynamically migrate devices between the fog and edge layers. This work focuses on describing an automated and secure login method for this system. To reduce user intervention and simplify system use, the login process has been automated by storing session credentials and utilizing a fog-level device discovery process. The design of the login mechanism is aligned with the strict security requirements of the system, considering the sensitivity of the data and the criticality of the service. This is a work in progress so performance evaluations are still pending.Instituto de Investigación en Informática2025-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf75-79http://sedici.unlp.edu.ar/handle/10915/182609enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-2583-1info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-04-08T10:37:48Zoai:sedici.unlp.edu.ar:10915/182609Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-04-08 10:37:48.507SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
title Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
spellingShingle Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
Zanellato, Claudio
Ciencias Informáticas
Early Warning System
Cloud-Fog-Edge
Resilient mHealth System
title_short Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
title_full Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
title_fullStr Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
title_full_unstemmed Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
title_sort Automated and Secure Login in ALERTAR, a Resilient Cloud–Fog–Edge mHealth System for Hospital Environments
dc.creator.none.fl_str_mv Zanellato, Claudio
Cañibano, Rodrigo
Balladini, Javier
author Zanellato, Claudio
author_facet Zanellato, Claudio
Cañibano, Rodrigo
Balladini, Javier
author_role author
author2 Cañibano, Rodrigo
Balladini, Javier
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Early Warning System
Cloud-Fog-Edge
Resilient mHealth System
topic Ciencias Informáticas
Early Warning System
Cloud-Fog-Edge
Resilient mHealth System
dc.description.none.fl_txt_mv ALERTAR system aims to assist healthcare providers in identifying early clinical deterioration in hospitalized patients on general wards. Its cloud-fog-edge architecture uses only mobile devices at the fog and edge levels to simplify its operability. As a critical healthcare system, it is of utmost importance to provide resilience across multiple layers of the architecture. To tolerate faults, the system can dynamically migrate devices between the fog and edge layers. This work focuses on describing an automated and secure login method for this system. To reduce user intervention and simplify system use, the login process has been automated by storing session credentials and utilizing a fog-level device discovery process. The design of the login mechanism is aligned with the strict security requirements of the system, considering the sensitivity of the data and the criticality of the service. This is a work in progress so performance evaluations are still pending.
Instituto de Investigación en Informática
description ALERTAR system aims to assist healthcare providers in identifying early clinical deterioration in hospitalized patients on general wards. Its cloud-fog-edge architecture uses only mobile devices at the fog and edge levels to simplify its operability. As a critical healthcare system, it is of utmost importance to provide resilience across multiple layers of the architecture. To tolerate faults, the system can dynamically migrate devices between the fog and edge layers. This work focuses on describing an automated and secure login method for this system. To reduce user intervention and simplify system use, the login process has been automated by storing session credentials and utilizing a fog-level device discovery process. The design of the login mechanism is aligned with the strict security requirements of the system, considering the sensitivity of the data and the criticality of the service. This is a work in progress so performance evaluations are still pending.
publishDate 2025
dc.date.none.fl_str_mv 2025-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/182609
url http://sedici.unlp.edu.ar/handle/10915/182609
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-2583-1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.format.none.fl_str_mv application/pdf
75-79
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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