EpisoDAS - DAS-based password generation using episodic memories

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We introduce a simple and powerful visual interaction technique for managing strong passwords. Passwords have been used for authentication for decades, but appropriate handling of passwords is difficult because people can easily forget passwords and they can be easily attacked. Better authentication methods have been investigated, and various visual interaction methods have been proposed, including the DAS (draw-a-secret) method. Using DAS, users can log into a service just by drawing a secret pattern on the screen, but remembering complex secret patterns is as difficult as remembering passwords. We developed EpisoDAS, with which users can generate strong passwords based on their secret episodic memories with a simple DAS interface. A user can draw a secret pattern and generate a password, based on their secret episodic memories that they cannot easily forget.

Original languageEnglish
Title of host publicationAVI 2018 - Proceedings of the 2018 International Conference on Advanced Visual Interfaces
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450356169
DOIs
Publication statusPublished - 2018 May 29
Event14th International Conference on Advanced Visual Interfaces, AVI 2018 - Grosseto, Italy
Duration: 2018 May 292018 Jun 1

Other

Other14th International Conference on Advanced Visual Interfaces, AVI 2018
CountryItaly
CityGrosseto
Period18/5/2918/6/1

Keywords

  • Draw-a-secret
  • EpisoDAS
  • Episodic memories
  • EpisoPass
  • Passwords
  • User authentication
  • Visual passwords

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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  • Cite this

    Masui, T. (2018). EpisoDAS - DAS-based password generation using episodic memories. In AVI 2018 - Proceedings of the 2018 International Conference on Advanced Visual Interfaces [a73] Association for Computing Machinery. https://doi.org/10.1145/3206505.3206593