ZoomPass: A Zoom-Based Android Unlock Scheme on Smart Devices

Thomas Gleerup, Wenjuan Li, Jiao Tan, Yu Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Modern smart devices such as smartphones are able to provide various services, including checking online banking, watching video and listening to music. Due to the intelligence and popularity, such devices are also used as storage space for recording users’ private information such as personal photos, credit card number, videos and more. This creates a need for protecting the devices from unauthorized access. Currently, many unlock schemes have been developed, in which Android unlock pattern is the most widely used scheme. However, traditional Android unlock pattern is vulnerable to different threats due to the limited pattern space. To enhance the security, one major direction is to combine biometric features with Android unlock pattern. In this work, motivated by this trend, we propose an enhanced Android unlock scheme based on zoom actions. More specifically, users can select two dots and perform a zoom action (either zoom-in or zoom-out) over each dot for authentication. In the study with 30 participants, our scheme demonstrates good performance in terms of usability and security.

Original languageEnglish
Title of host publicationScience of Cyber Security - 4th International Conference, SciSec 2022, Revised Selected Papers
EditorsChunhua Su, Kouichi Sakurai, Feng Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages245-259
Number of pages15
ISBN (Print)9783031175503
DOIs
Publication statusPublished - Sept 2022
Event4th International Conference on Science of Cyber Security, SciSec 2022 - Matsue, Japan
Duration: 10 Aug 202212 Aug 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13580 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Science of Cyber Security, SciSec 2022
Country/TerritoryJapan
CityMatsue
Period10/08/2212/08/22

Keywords

  • Android unlock pattern
  • Behavioral authentication
  • Smartphone security
  • Touch dynamic
  • User authentication
  • Zoom behavior

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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