A survey on touch dynamics authentication in mobile devices

Pin Shen Teh, Ning Zhang, Andrew Beng Jin Teoh, Ke Chen

Research output: Contribution to journalReview articlepeer-review

113 Citations (Scopus)


There have been research activities in the area of keystroke dynamics biometrics on physical keyboards (desktop computers or conventional mobile phones) undertaken in the past three decades. However, in terms of touch dynamics biometrics on virtual keyboards (modern touchscreen mobile devices), there has been little published work. Particularly, there is a lack of an extensive survey and evaluation of the methodologies adopted in the area. Owing to the widespread use of touchscreen mobile devices, it is necessary for us to examine the techniques and their effectiveness in the domain of touch dynamics biometrics. The aim of this paper is to provide some insights and comparative analysis of the current state of the art in the topic area, including data acquisition protocols, feature data representations, decision making techniques, as well as experimental settings and evaluations. With such a survey, we can gain a better understanding of the current state of the art, thus identifying challenging issues and knowledge gaps for further research.

Original languageEnglish
Pages (from-to)210-235
Number of pages26
JournalComputers and Security
Publication statusPublished - 2016 Jun 1

Bibliographical note

Funding Information:
This research work was supported by the University of Manchester . We would also like to thank the anonymous reviewers, whose advice and comments substantially improved this article.

Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Law


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