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dc.contributor.authorBelk, Mariosen
dc.contributor.authorFidas, Christosen
dc.contributor.authorPitsillides, Andreasen
dc.coverage.spatialGlasgow, Scotland Uken
dc.creatorBelk, Mariosen
dc.creatorFidas, Christosen
dc.creatorPitsillides, Andreasen
dc.date.accessioned2021-01-22T10:47:42Z
dc.date.available2021-01-22T10:47:42Z
dc.date.issued2019
dc.identifier.isbn978-1-4503-5971-9
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62401
dc.description.abstractThis paper presents a new user authentication paradigm which is based on a flexible user authentication method, namely FlexPass. FlexPass relies on a single, user-selected secret that can be reflected in both textual and graphical authentication secrets. Such an approach facilitates adaptability in nowadays ubiquitous user interaction contexts within the Internet of Things (IoT), in which end-users authenticate multiple times per day through a variety of interaction device types. We present an initial evaluation of the new authentication method based on an in-lab experiment with 32 participants. Analysis of results reveal that the FlexPass paradigm is memorable and that users like the adaptable perspective of the new approach. Findings are expected to scaffold the design of more user-centric knowledge-based authentication mechanisms within nowadays ubiquitous computation realms.en
dc.publisherAssociation for Computing Machineryen
dc.sourceExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systemsen
dc.source.urihttps://doi.org/10.1145/3290607.3312951
dc.titleFlexPass: Symbiosis of Seamless User Authentication Schemes in IoTen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1145/3290607.3312951
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.contributor.orcidPitsillides, Andreas [0000-0001-5072-2851]
dc.contributor.orcidBelk, Marios [0000-0001-6200-0178]
dc.gnosis.orcid0000-0001-5072-2851
dc.gnosis.orcid0000-0001-6200-0178


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