The BeiHang Keystroke Dynamics Systems, Databases and baselines

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

doi:10.1016/j.neucom.2014.04.044

The BeiHang Keystroke Dynamics Systems, Databases and baselines

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

^*Corresponding author for this work

Research output: Journal Publication › Article › peer-review

9 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 language	English
Pages (from-to)	271-281
Number of pages	11
Journal	Neurocomputing
Volume	144
DOIs	https://doi.org/10.1016/j.neucom.2014.04.044
Publication status	Published - 20 Nov 2014
Externally published	Yes

Free Keywords

Embedded system design
Gabor feature
Keystroke dynamics
Random projection
SVM

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

Access to Document

10.1016/j.neucom.2014.04.044

Cite this

@article{28b780c82a9e49ce98d64453306cfa7a,

title = "The BeiHang Keystroke Dynamics Systems, Databases and baselines",

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.",

keywords = "Embedded system design, Gabor feature, Keystroke dynamics, Random projection, SVM",

author = "Juan Liu and Baochang Zhang and Haoran Zeng and Linlin Shen and Jianzhuang Liu and Jason Zhao",

note = "Funding Information: The work was supported in part by the Natural Science Foundation of China , under Contracts 60903065 , 61039003 and 61272052 , in part by the Fundamental Research Funds for the Central Universities , and by the Program for New Century Excellent Talents University of Ministry of Education of China . Funding Information: Baochang Zhang received the B.S., M.S., and Ph.D. degrees in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, 2001, and 2006, respectively. From 2006 to 2008, he was a Research Fellow with the Chinese University of Hong Kong, Hong Kong, and with Griffith University, Brisbane, Australia. Currently, he is an associate professor with the Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China. He was supported by the Program for New Century Excellent Talents in University of Ministry of Education of China. His current research interests include pattern recognition, machine learning, face recognition, and wavelets. ",

year = "2014",

month = nov,

day = "20",

doi = "10.1016/j.neucom.2014.04.044",

language = "English",

volume = "144",

pages = "271--281",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - The BeiHang Keystroke Dynamics Systems, Databases and baselines

AU - Liu, Juan

AU - Zhang, Baochang

AU - Zeng, Haoran

AU - Shen, Linlin

AU - Liu, Jianzhuang

AU - Zhao, Jason

N1 - Funding Information: The work was supported in part by the Natural Science Foundation of China , under Contracts 60903065 , 61039003 and 61272052 , in part by the Fundamental Research Funds for the Central Universities , and by the Program for New Century Excellent Talents University of Ministry of Education of China . Funding Information: Baochang Zhang received the B.S., M.S., and Ph.D. degrees in computer science from the Harbin Institute of Technology, Harbin, China, in 1999, 2001, and 2006, respectively. From 2006 to 2008, he was a Research Fellow with the Chinese University of Hong Kong, Hong Kong, and with Griffith University, Brisbane, Australia. Currently, he is an associate professor with the Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China. He was supported by the Program for New Century Excellent Talents in University of Ministry of Education of China. His current research interests include pattern recognition, machine learning, face recognition, and wavelets.

PY - 2014/11/20

Y1 - 2014/11/20

N2 - 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.

AB - 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.

KW - Embedded system design

KW - Gabor feature

KW - Keystroke dynamics

KW - Random projection

KW - SVM

UR - https://www.scopus.com/pages/publications/84906047178

U2 - 10.1016/j.neucom.2014.04.044

DO - 10.1016/j.neucom.2014.04.044

M3 - Article

AN - SCOPUS:84906047178

SN - 0925-2312

VL - 144

SP - 271

EP - 281

JO - Neurocomputing

JF - Neurocomputing

ER -

The BeiHang Keystroke Dynamics Systems, Databases and baselines

Abstract

Free Keywords

ASJC Scopus subject areas

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