Statistical Fusion Approach on Keystroke Dynamics

Keystroke dynamics refers to a user's habitual typing characteristics. These typing characteristics are believed to be unique among large populations. In this paper, we present a novel keystroke dynamic recognition system by using a fusion method. Firstly, we record the dwell time and the fligh...

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Main Authors: Teh, Pin Shen, Teoh, Andrew Beng Jin, Ong, Thian Song, Neo, Han Foon
Format: Conference or Workshop Item
Language:English
Published: IEEE 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/2950/
http://shdl.mmu.edu.my/2950/1/Statistical%20Fusion%20Approach%20on%20Keystroke%20Dynamics.pdf
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author Teh, Pin Shen
Teoh, Andrew Beng Jin
Ong, Thian Song
Neo, Han Foon
author_facet Teh, Pin Shen
Teoh, Andrew Beng Jin
Ong, Thian Song
Neo, Han Foon
author_sort Teh, Pin Shen
building MMU Institutional Repository
collection Online Access
description Keystroke dynamics refers to a user's habitual typing characteristics. These typing characteristics are believed to be unique among large populations. In this paper, we present a novel keystroke dynamic recognition system by using a fusion method. Firstly, we record the dwell time and the flight time as the feature data. We then calculate their mean and standard deviation values and stored The test feature data will be transformed into the scores via Gaussian probability density function. On the other hand, we also propose a new technique, known as Direction Similarity Measure (DSM) to measure the differential of sign among each coupled characters in a phrase. Lastly, a weighted sum rule is applied by fusing the Gaussian scores and the DSM to enhance the final result. The best result of equal error rate 6.36% is obtained by using our home-made dataset.
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format Conference or Workshop Item
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institution Multimedia University
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language English
last_indexed 2025-11-14T18:08:43Z
publishDate 2007
publisher IEEE
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spelling mmu-29502021-09-21T07:57:09Z http://shdl.mmu.edu.my/2950/ Statistical Fusion Approach on Keystroke Dynamics Teh, Pin Shen Teoh, Andrew Beng Jin Ong, Thian Song Neo, Han Foon T Technology (General) QA75.5-76.95 Electronic computers. Computer science Keystroke dynamics refers to a user's habitual typing characteristics. These typing characteristics are believed to be unique among large populations. In this paper, we present a novel keystroke dynamic recognition system by using a fusion method. Firstly, we record the dwell time and the flight time as the feature data. We then calculate their mean and standard deviation values and stored The test feature data will be transformed into the scores via Gaussian probability density function. On the other hand, we also propose a new technique, known as Direction Similarity Measure (DSM) to measure the differential of sign among each coupled characters in a phrase. Lastly, a weighted sum rule is applied by fusing the Gaussian scores and the DSM to enhance the final result. The best result of equal error rate 6.36% is obtained by using our home-made dataset. IEEE 2007-12 Conference or Workshop Item NonPeerReviewed text en http://shdl.mmu.edu.my/2950/1/Statistical%20Fusion%20Approach%20on%20Keystroke%20Dynamics.pdf Teh, Pin Shen and Teoh, Andrew Beng Jin and Ong, Thian Song and Neo, Han Foon (2007) Statistical Fusion Approach on Keystroke Dynamics. In: 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 16-18 Dec. 2007, Shanghai, China. https://ieeexplore.ieee.org/document/4618872 10.1109/SITIS.2007.46 10.1109/SITIS.2007.46 10.1109/SITIS.2007.46
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Teh, Pin Shen
Teoh, Andrew Beng Jin
Ong, Thian Song
Neo, Han Foon
Statistical Fusion Approach on Keystroke Dynamics
title Statistical Fusion Approach on Keystroke Dynamics
title_full Statistical Fusion Approach on Keystroke Dynamics
title_fullStr Statistical Fusion Approach on Keystroke Dynamics
title_full_unstemmed Statistical Fusion Approach on Keystroke Dynamics
title_short Statistical Fusion Approach on Keystroke Dynamics
title_sort statistical fusion approach on keystroke dynamics
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2950/
http://shdl.mmu.edu.my/2950/
http://shdl.mmu.edu.my/2950/
http://shdl.mmu.edu.my/2950/1/Statistical%20Fusion%20Approach%20on%20Keystroke%20Dynamics.pdf