The BeiHang Keystroke Dynamics Systems, Databases and baselines

Juan Liu, Baochang Zhang, Haoran Zeng, Linlin Shen, Jianzhuang Liu, Jason Zhao

Research output: Journal PublicationArticlepeer-review

8 Citations (Scopus)

Abstract

Keystroke dynamics is an important biometric branch for person authentication. Based upon keystroke dynamics, this paper designs an embedded password protection device, develops an online system, collects two public databases for promoting the research on keystroke authentication, exploits transformation methods to characterize keystroke dynamics, and provides benchmark results of several popular classification algorithms, one-class support vector machine, Gaussian classifier, and nearest neighbor classifier.

Original languageEnglish
Pages (from-to)271-281
Number of pages11
JournalNeurocomputing
Volume144
DOIs
Publication statusPublished - 20 Nov 2014
Externally publishedYes

Keywords

  • Embedded system design
  • Gabor feature
  • Keystroke dynamics
  • Random projection
  • SVM

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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