Consonant-Vowel-Consonants for Error-Free Code Entry
| Autor: | Leila Gabasova, Ted Selker, Nikola K. Blanchard |
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| Přispěvatelé: | Institut de Recherche en Informatique Fondamentale (IRIF (UMR_8243)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut de Planétologie et d'Astrophysique de Grenoble (IPAG), Centre National d'Études Spatiales [Toulouse] (CNES)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), University of Maryland [Baltimore County] (UMBC), University of Maryland System, ANR-15-IDEX-04-LUE,LUE,Lorraine Université d'Excellence(2016), Blanchard, Enka, ISITE - Isite LUE - - LUE2015 - ANR-15-IDEX-0004 - IDEX - VALID, Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), IMPACT DIGITRUST, ANR-15-IDEX-0004,LUE,Isite LUE(2015) |
| Rok vydání: | 2019 |
| Předmět: |
Authentication
021110 strategic defence & security studies User study Self-checking Computer science Speech recognition 0211 other engineering and technologies Character encoding 02 engineering and technology [INFO] Computer Science [cs] Usable-security Preference Error correcting codes Password character-sets Transcription (linguistics) 020204 information systems 0202 electrical engineering electronic engineering information engineering Code (cryptography) [INFO]Computer Science [cs] Consonant vowel [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC] |
| Zdroj: | HCI for Cybersecurity, Privacy and Trust ISBN: 9783030223502 HCI (29) HCI International HCI International, Jul 2019, Orlando, United States BASE-Bielefeld Academic Search Engine |
| DOI: | 10.1007/978-3-030-22351-9_2 |
| Popis: | International audience; Recent work on passwords has focused on choosing secure codes, while design for ability to type them error-free has not received as much attention. The difficulties people were having transcribing codes in a security demonstration motivated this study of code transcription difficulty. A pilot study with 33 subjects and a follow-up study with 267 subjects from 24 countries measured performance and preference for codes of varying lengths, patterns, and character sets. The study found long codes with alternating consonant and vowel patterns are preferred and can be more accurately transcribed than shorter numeric or alphabetic codes. Mixed-case and alphanumeric character sets both increased transcription errors. Our proposed CVC 6 code design composed of six Consonant-Vowel-Consonant trigrams is more secure, faster to enter, highly preferred by users, and more impervious to user error when compared to standard codes currently used for security purposes. An extension integrates error detection and correction, essentially eliminating typo problems. |
| Databáze: | OpenAIRE |
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