TouchWB : Touch behavioral user authentication based on web browsing on smartphones

Weizhi Meng, Yu Wang*, Duncan S. Wong, Sheng Wen, Yang Xiang

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Modern mobile devices especially smartphones have rapidly evolved and are widely adopted by people of different ages. Smartphones can assist users in a variety of activities, i.e., from social networking to online shopping, but also have become an attractive target for cyber-criminals due to the stored personal data and sensitive information. The traditional authentication mechanisms like PIN suffer from well-known limitations and drawbacks in the security community; thus, touch behavioral authentication has recently received much attention. Intuitively, authentication based on free touches would be hard to build a stand-alone system. In this work, we advocate that such authentication can consider users’ actions under certain phone applications like web browser, and then propose a touch gesture-based authentication scheme, called TouchWB, with 21 features that can be extracted from web browsing gestures. For evaluation, we implemented the scheme on Android phones and conducted a user study involving 48 participants. Experimental results demonstrated that our approach could reduce the touch behavioral deviation by nearly half and achieve an average error rate of about 2.4% by using a combined classifier of PSO-RBFN.
Original languageEnglish
JournalJournal of Network and Computer Applications
Volume117
Pages (from-to)1-9
Number of pages9
ISSN1084-8045
DOIs
Publication statusPublished - 2018

Keywords

  • Behavioral Authentication
  • Touch Gesture
  • Smartphone Security
  • Access Control
  • Touchscreen
  • Machine Learning

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