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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2007
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2950/ http://shdl.mmu.edu.my/2950/1/Statistical%20Fusion%20Approach%20on%20Keystroke%20Dynamics.pdf |
| _version_ | 1848790193173168128 |
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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. |
| first_indexed | 2025-11-14T18:08:43Z |
| format | Conference or Workshop Item |
| id | mmu-2950 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:08:43Z |
| publishDate | 2007 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |