Towards DTW-based Unlock Scheme using Handwritten Graphics on Smartphones

Li Wang, Weizhi Meng, Wenjuan Li

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

Abstract

Nowadays, due to the increasing capability, mobile devices especially smartphones have become a necessity in people's daily life, which would store a lot of personal and private information. This makes smartphones a major target for cyber-attackers, i.e., either loss of such mobile deices or illegal access will cause personal data breach and economic damage. Hence it is of great importance to safeguard smartphones from unauthorized access with the purpose of reducing the risk of privacy leakage and economic losses. To achieve this purpose, designing a suitable scheme to unlock phone screen is one promising solution. For instance, Android unlock scheme is a typical example, where users can unlock the phone screen by inputting a correct pattern. However, its password space is low due to the adoption of only nine dots on a 2D grid. In this work, we design a new unlock scheme using handwritten graphics, which uses an improved DTW-based algorithm for authentication. Also, we implement a prototype and evaluate our scheme using both a public dataset (SUSIG) and a self-collected dataset (SCD). Our results indicated that our scheme could achieve 7.12% and 8.75% EER on SUSIG and SCD respectively.

Original languageEnglish
Title of host publicationProceedings - 2021 17th International Conference on Mobility, Sensing and Networking, MSN 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages486-493
Number of pages8
ISBN (Electronic)9781665406680
DOIs
Publication statusPublished - Dec 2021
Event17th International Conference on Mobility, Sensing and Networking, MSN 2021 - Virtual, Exeter, United Kingdom
Duration: 13 Dec 202115 Dec 2021

Publication series

NameProceedings - 2021 17th International Conference on Mobility, Sensing and Networking, MSN 2021

Conference

Conference17th International Conference on Mobility, Sensing and Networking, MSN 2021
Country/TerritoryUnited Kingdom
CityVirtual, Exeter
Period13/12/2115/12/21

Keywords

  • Dynamic Time Warping
  • Handwritten Graphics
  • Smartphone Security
  • Unlock Mechanism
  • User Authentication and Verification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management

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