Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/41563
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dc.contributor.authorMorais, Davidpt_PT
dc.contributor.authorZúquete, Andrépt_PT
dc.contributor.authorMendes, Antóniopt_PT
dc.date.accessioned2024-04-17T08:57:57Z-
dc.date.available2024-04-17T08:57:57Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/10773/41563-
dc.description.abstractWith the recent growth of Internet of Things (IoT), cloud platforms and, consequently, the exponential increase in online exchanges encompassing sensitive information pertinent to users, it has become necessary to implement strong authentication methods to minimize the risk of user impersonation and, consequently, enhancing the protection of private information. In this paper, a solution is proposed which employs risk assessment aligned with a Multi-Factor Authentication (MFA) system, in a platform that can be easily integrated in applications in order to delegate the authentication process to an external platform. While pushing forward the concept of Adaptive Authentication as a Service, the main goal is to protect against user impersonation and illegitimate access to accounts, while keeping the intrinsic protection of MFA systems and rendering phishing attacks inconsequential with the aid or risk-based adaptability.pt_PT
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00127%2F2020/PTpt_PT
dc.rightsrestrictedAccesspt_PT
dc.subjectAuthentication as a servicept_PT
dc.subjectMulti-factor authenticationpt_PT
dc.subjectRisk-based adaptationpt_PT
dc.titleAdaptive, multi-factor authentication as a service for web applicationspt_PT
dc.typeconferenceObjectpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
ua.event.date16-18 Outubro, 2023pt_PT
degois.publication.firstPage74pt_PT
degois.publication.lastPage80pt_PT
degois.publication.locationMontrealpt_PT
degois.publication.title2023 7th Cyber Security in Networking Conference (CSNet)pt_PT
dc.identifier.doi10.1109/CSNet59123.2023.10339695pt_PT
dc.identifier.essn2768-0029-
dc.identifier.esbn979-8-3503-4287-1-
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