Abstract

This paper presents a model for generating personalized passwords (i.e., passwords based on user and service profile). A user's password is generated from a fist of personalized words, each word is drawn from a topic relating to a user and the service in use. The proposed model can be applied to: (i) assess the strength of a password (i.e., determine how many guesses are used to crack the password), and (ii) generate secure (i.e., contains digits, special characters, or capitalized characters) yet easy to memorize passwords.

Original languageEnglish (US)
Title of host publicationProceedings of the 2014 Symposium and Bootcamp on the Science of Security, HotSoS 2014
PublisherAssociation for Computing Machinery
ISBN (Print)9781450329071
DOIs
StatePublished - 2014
Event2014 Symposium and Bootcamp on the Science of Security, HotSoS 2014 - Raleigh, NC, United States
Duration: Apr 8 2014Apr 9 2014

Other

Other2014 Symposium and Bootcamp on the Science of Security, HotSoS 2014
Country/TerritoryUnited States
CityRaleigh, NC
Period4/8/144/9/14

Keywords

  • Guessing
  • Password
  • Personalized
  • Suggestion

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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