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Detecting Risky Authentication Using the OpenID Connect Token Exchange Time

With the rise in sophisticated cyber threats, traditional authentication methods are no longer sufficient. Risk-based authentication (RBA) plays a critical role in the context of the zero trust framework—a paradigm shift that assumes no trust within or outside the network. This research introduces a...

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Detalles Bibliográficos
Autores principales: Han, Alex Heunhe, Lee, Dong Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575157/
https://www.ncbi.nlm.nih.gov/pubmed/37837086
http://dx.doi.org/10.3390/s23198256
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author Han, Alex Heunhe
Lee, Dong Hoon
author_facet Han, Alex Heunhe
Lee, Dong Hoon
author_sort Han, Alex Heunhe
collection PubMed
description With the rise in sophisticated cyber threats, traditional authentication methods are no longer sufficient. Risk-based authentication (RBA) plays a critical role in the context of the zero trust framework—a paradigm shift that assumes no trust within or outside the network. This research introduces a novel proposal as its core: utilization of the time required by OpenID Connect (OIDC) token exchanges as a new RBA feature. This innovative approach enables the detection of tunneled connections without any intervention from the user’s browser or device. By analyzing the duration of OIDC token exchanges, the system can identify any irregularities that may signify unauthorized access attempts. This approach not only improves upon existing RBA frameworks but is also in alignment with the broader movement toward intelligent and responsive security systems.
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spelling pubmed-105751572023-10-14 Detecting Risky Authentication Using the OpenID Connect Token Exchange Time Han, Alex Heunhe Lee, Dong Hoon Sensors (Basel) Article With the rise in sophisticated cyber threats, traditional authentication methods are no longer sufficient. Risk-based authentication (RBA) plays a critical role in the context of the zero trust framework—a paradigm shift that assumes no trust within or outside the network. This research introduces a novel proposal as its core: utilization of the time required by OpenID Connect (OIDC) token exchanges as a new RBA feature. This innovative approach enables the detection of tunneled connections without any intervention from the user’s browser or device. By analyzing the duration of OIDC token exchanges, the system can identify any irregularities that may signify unauthorized access attempts. This approach not only improves upon existing RBA frameworks but is also in alignment with the broader movement toward intelligent and responsive security systems. MDPI 2023-10-05 /pmc/articles/PMC10575157/ /pubmed/37837086 http://dx.doi.org/10.3390/s23198256 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Han, Alex Heunhe
Lee, Dong Hoon
Detecting Risky Authentication Using the OpenID Connect Token Exchange Time
title Detecting Risky Authentication Using the OpenID Connect Token Exchange Time
title_full Detecting Risky Authentication Using the OpenID Connect Token Exchange Time
title_fullStr Detecting Risky Authentication Using the OpenID Connect Token Exchange Time
title_full_unstemmed Detecting Risky Authentication Using the OpenID Connect Token Exchange Time
title_short Detecting Risky Authentication Using the OpenID Connect Token Exchange Time
title_sort detecting risky authentication using the openid connect token exchange time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575157/
https://www.ncbi.nlm.nih.gov/pubmed/37837086
http://dx.doi.org/10.3390/s23198256
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