PassFile: Graphical password authentication based on file browsing records

Ho Chun FU, Wenjuan LI, Yu WANG

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

With the rapid growth of smartphone shipments, it has become a necessity to safeguard the mobile devices from unauthorized access (e.g., in case of stolen or lost). To complement traditional textual passwords, graphical password is believed to be a promising alternative, which requires users to create their credentials based on image(s). However, many complicated graphical password schemes may increase the memory load of a user. In practice, a usable graphical password scheme is often designed based on users’ own knowledge. In this work, we introduce PassFile, a graphical password authentication scheme based on file browsing records on mobile devices. It requires a user to select the most frequently used applications from the mobile devices as authentication token. In the user study, our results indicate that our proposed PassFile can provide a high login success rate (over 96%). Copyright © 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Original languageEnglish
Title of host publicationMachine learning for cyber security: Proceedings of 5th International Conference, ML4CS 2023
EditorsDan Dongseong KIM, Chao CHEN
Place of PublicationSingapore
PublisherSpringer
Pages28-43
ISBN (Print)9789819724574
DOIs
Publication statusPublished - 2024

Citation

Fu, H. C., Li, W., & Wang, Y. (2024). PassFile: Graphical password authentication based on file browsing records. In D. D. Kim, & C. Chen (Eds.), Machine learning for cyber security: Proceedings of 5th International Conference, ML4CS 2023 (pp. 28-43). Springer. https://doi.org/10.1007/978-981-97-2458-1_3

Keywords

  • User authentication
  • File browsing record
  • Unlock mechanism
  • Mobile device
  • PassFile
  • Graphical password

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