Enhanced free-text keystroke continuous authentication based on dynamics of wrist motion

Borui Li, Han Sun, Yang Gao, Vir V. Phoha, Zhanpeng Jin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Free-text keystroke is a form of behavioral biometrics which has great potential for addressing the security limitations of conventional one-time authentication by continuously monitoring the user's typing behaviors. This paper presents a new, enhanced continuous authentication approach by incorporating the dynamics of both keystrokes and wrist motions. Based upon two sets of features (free-text keystroke latency features and statistical wrist motion patterns extracted from the wrist-worn smartwatches), two one-vs-all Random Forest Ensemble Classifiers (RFECs) are constructed and trained respectively. A Dynamic Trust Model (DTM) is then developed to fuse the two classifiers' decisions and realize non-time-blocked real-time authentication. In the free-text typing experiments involving 25 human subjects, an imposter/intruder can be detected within no more than one sentence (average 56 keystrokes) with an FRR of 1.82% and an FAR of 1.94%. Compared with the scheme relying on only keystroke latency which has an FRR of 4.66%, an FAR of 17.92% and the required number of keystroke of 162, the proposed authentication system shows significant improvements in terms of accuracy, efficiency, and usability.

Original languageEnglish (US)
Title of host publication2017 IEEE Workshop on Information Forensics and Security, WIFS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509067695
DOIs
StatePublished - Jul 2 2017
Event2017 IEEE Workshop on Information Forensics and Security, WIFS 2017 - Rennes, France
Duration: Dec 4 2017Dec 7 2017

Publication series

Name2017 IEEE Workshop on Information Forensics and Security, WIFS 2017
Volume2018-January

Other

Other2017 IEEE Workshop on Information Forensics and Security, WIFS 2017
CountryFrance
CityRennes
Period12/4/1712/7/17

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Cite this

Li, B., Sun, H., Gao, Y., Phoha, V. V., & Jin, Z. (2017). Enhanced free-text keystroke continuous authentication based on dynamics of wrist motion. In 2017 IEEE Workshop on Information Forensics and Security, WIFS 2017 (pp. 1-6). (2017 IEEE Workshop on Information Forensics and Security, WIFS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIFS.2017.8267642