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Fingerprint Recognition on Mobile Devices: Widely Deployed, Rarely Understood
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Privacy and Security, PRISEC)ORCID-id: 0000-0003-2823-3837
Karlstads universitet, Fakulteten för humaniora och samhällsvetenskap (from 2013), Handelshögskolan (from 2013). (HumanIT)ORCID-id: 0000-0001-6826-3358
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Privacy and Security, PRISEC)ORCID-id: 0000-0002-6938-4466
2018 (Engelska)Ingår i: ARES 2018 Proceedings of the 13th International Conference on Availability, Reliability and Security (ARES 2018)., New York, NY, USA: Association for Computing Machinery (ACM), 2018, artikel-id 39Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Only a few studies have addressed the users' conception of how fingerprint recognition used for different purposes on mobile devices works. This study contributes by investigating how different groups of individuals think that the fingerprint recognition works, why they think so, and also by pointing out differences in pin code and fingerprint issues. The study furthermore yields some results concerning individuals' attitudes towards how sensitive the use of fingerprint sensors is: non-users tended to be more afraid of third-party access than users. On the other hand, users tended to regard the fingerprint pattern as more sensitive than non-users.

This study also manages to give some methodological contributions, namely that mockup user interfaces do not bias the parameters studied in this paper (e.g. understanding of access to fingerprint data), and that self-estimation of knowledge in Computer Security is not a good indicator of respondents' understanding of fingerprint security and privacy. Moreover, people who connected a low degree of sensitivity to fingerprint patterns gave very different reasons for their estimation of sensitivity. This prompts for more research, as it is unclear if different groups would benefit from different information and modes of visualisation to understand what are the issues involved in fingerprint recognition on mobile devices.

Ort, förlag, år, upplaga, sidor
New York, NY, USA: Association for Computing Machinery (ACM), 2018. artikel-id 39
Nyckelord [en]
Fingerprint Pattern, User Perception, Sensitive Information, Data Privacy
Nationell ämneskategori
Datavetenskap (datalogi) Människa-datorinteraktion (interaktionsdesign)
Identifikatorer
URN: urn:nbn:se:kau:diva-70227DOI: 10.1145/3230833.3234514ISI: 000477981800077ISBN: 978-1-4503-6448-5 (digital)OAI: oai:DiVA.org:kau-70227DiVA, id: diva2:1264903
Konferens
The 3rd SECPID Workshop in the 13th International Conference on Availability, Reliability and Security (ARES 2018), August 27-30, 2018, Hamburg, Germany.
Projekt
CREDENTIAL
Forskningsfinansiär
EU, Horisont 2020, 653454Tillgänglig från: 2018-11-21 Skapad: 2018-11-21 Senast uppdaterad: 2019-11-01Bibliografiskt granskad

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Karegar, FarzanehPettersson, John SörenFischer-Hübner, Simone

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Karegar, FarzanehPettersson, John SörenFischer-Hübner, Simone
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Institutionen för matematik och datavetenskap (from 2013)Handelshögskolan (from 2013)
Datavetenskap (datalogi)Människa-datorinteraktion (interaktionsdesign)

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