Cost-effective kernel ridge regression implementation for keystroke-based active authentication system

Pei Yuan Wu; Chi Chen Fang; J. Morris Chang; Stephen B. Gilbert; Sun-Yuan Kung

doi:10.1109/ICASSP.2014.6854761

Cost-effective kernel ridge regression implementation for keystroke-based active authentication system

Pei Yuan Wu, Chi Chen Fang, J. Morris Chang, Stephen B. Gilbert, Sun-Yuan Kung

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

In this study a keystroke-based authentication system is implemented on a large-scale free-text keystroke data set, where cost effective kernel-based learning algorithms are designed to enable trade-off between computational cost and accuracy performance. The authentication process evaluates the user's typing behavior on a vocabulary of words, where the judgments based on each word are concatenated by weighted votes, whose weights are also trained to provide optimal fusion of independent judgments. A novel truncated-RBF kernel is also implemented to provide better cost-performance trade-off. Experimental results validate the cost-effectiveness of the developed authentication system.

Original language	English (US)
Title of host publication	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6028-6032
Number of pages	5
ISBN (Print)	9781479928927
DOIs	https://doi.org/10.1109/ICASSP.2014.6854761
State	Published - Jan 1 2014
Event	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy Duration: May 4 2014 → May 9 2014

Other

Other	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/Territory	Italy
City	Florence
Period	5/4/14 → 5/9/14

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICASSP.2014.6854761

Cite this

Wu, P. Y., Fang, C. C., Chang, J. M., Gilbert, S. B., & Kung, S-Y. (2014). Cost-effective kernel ridge regression implementation for keystroke-based active authentication system. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 6028-6032). Article 6854761 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854761

@inproceedings{652e39093a6d46e2954f5f370e7d0c91,

title = "Cost-effective kernel ridge regression implementation for keystroke-based active authentication system",

abstract = "In this study a keystroke-based authentication system is implemented on a large-scale free-text keystroke data set, where cost effective kernel-based learning algorithms are designed to enable trade-off between computational cost and accuracy performance. The authentication process evaluates the user's typing behavior on a vocabulary of words, where the judgments based on each word are concatenated by weighted votes, whose weights are also trained to provide optimal fusion of independent judgments. A novel truncated-RBF kernel is also implemented to provide better cost-performance trade-off. Experimental results validate the cost-effectiveness of the developed authentication system.",

author = "Wu, {Pei Yuan} and Fang, {Chi Chen} and Chang, {J. Morris} and Gilbert, {Stephen B.} and Sun-Yuan Kung",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/ICASSP.2014.6854761",

language = "English (US)",

isbn = "9781479928927",

pages = "6028--6032",

booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",

}

Wu, PY, Fang, CC, Chang, JM, Gilbert, SB & Kung, S-Y 2014, Cost-effective kernel ridge regression implementation for keystroke-based active authentication system. in 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014., 6854761, Institute of Electrical and Electronics Engineers Inc., pp. 6028-6032, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 5/4/14. https://doi.org/10.1109/ICASSP.2014.6854761

Cost-effective kernel ridge regression implementation for keystroke-based active authentication system. / Wu, Pei Yuan; Fang, Chi Chen; Chang, J. Morris et al.
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 6028-6032 6854761.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Cost-effective kernel ridge regression implementation for keystroke-based active authentication system

AU - Wu, Pei Yuan

AU - Fang, Chi Chen

AU - Chang, J. Morris

AU - Gilbert, Stephen B.

AU - Kung, Sun-Yuan

PY - 2014/1/1

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N2 - In this study a keystroke-based authentication system is implemented on a large-scale free-text keystroke data set, where cost effective kernel-based learning algorithms are designed to enable trade-off between computational cost and accuracy performance. The authentication process evaluates the user's typing behavior on a vocabulary of words, where the judgments based on each word are concatenated by weighted votes, whose weights are also trained to provide optimal fusion of independent judgments. A novel truncated-RBF kernel is also implemented to provide better cost-performance trade-off. Experimental results validate the cost-effectiveness of the developed authentication system.

AB - In this study a keystroke-based authentication system is implemented on a large-scale free-text keystroke data set, where cost effective kernel-based learning algorithms are designed to enable trade-off between computational cost and accuracy performance. The authentication process evaluates the user's typing behavior on a vocabulary of words, where the judgments based on each word are concatenated by weighted votes, whose weights are also trained to provide optimal fusion of independent judgments. A novel truncated-RBF kernel is also implemented to provide better cost-performance trade-off. Experimental results validate the cost-effectiveness of the developed authentication system.

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M3 - Conference contribution

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BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 4 May 2014 through 9 May 2014

ER -

Cost-effective kernel ridge regression implementation for keystroke-based active authentication system

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