Dynamic keystroke analysis using AR model
The design and development of a pressure sensor based typing biometrics authentication system (BAS) is discussed in this paper. The dynamic keystroke, represented by its time duration and force generates a waveform, which when concatenated results in a user’s typing pattern for the typed passw...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/6951/1/Dynamic_Keystroke_Analysis_Using_AR_Model.pdf |
| _version_ | 1796875445788999680 |
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| author | Eltahir, Wasil Elsadig Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin |
| author_facet | Eltahir, Wasil Elsadig Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin |
| author_sort | Eltahir, Wasil Elsadig |
| collection | IIUM |
| description | The design and development of a pressure
sensor based typing biometrics authentication system
(BAS) is discussed in this paper. The dynamic
keystroke, represented by its time duration and force
generates a waveform, which when concatenated
results in a user’s typing pattern for the typed
password. The design of the BAS is in two stages,
whereby the hardware comprising the pressure sensor
and the associated data acquisition system (DAS) is
first implemented. The system DAS has been designed
using LabVIEW software. Furthermore several data
preprocessing techniques have been used to improve
the quality of the acquired waveforms. The second
stage involves a classifier to authenticate the users. This
paper discusses a new data classifier technique based
on Autoregressive signal modeling (AR), which has
been developed so as to correctly identify and
authenticate the users of the system. Some experiments
have been conducted to show the validity of the overall
BAS performance. The results obtained have shown
that this proposed system is reliable with many
potential applications for computer security. |
| first_indexed | 2024-03-05T22:38:51Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:6951 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:38:51Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:69512020-06-12T08:08:42Z http://irep.iium.edu.my/6951/ Dynamic keystroke analysis using AR model Eltahir, Wasil Elsadig Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin T Technology (General) The design and development of a pressure sensor based typing biometrics authentication system (BAS) is discussed in this paper. The dynamic keystroke, represented by its time duration and force generates a waveform, which when concatenated results in a user’s typing pattern for the typed password. The design of the BAS is in two stages, whereby the hardware comprising the pressure sensor and the associated data acquisition system (DAS) is first implemented. The system DAS has been designed using LabVIEW software. Furthermore several data preprocessing techniques have been used to improve the quality of the acquired waveforms. The second stage involves a classifier to authenticate the users. This paper discusses a new data classifier technique based on Autoregressive signal modeling (AR), which has been developed so as to correctly identify and authenticate the users of the system. Some experiments have been conducted to show the validity of the overall BAS performance. The results obtained have shown that this proposed system is reliable with many potential applications for computer security. 2004 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/6951/1/Dynamic_Keystroke_Analysis_Using_AR_Model.pdf Eltahir, Wasil Elsadig and Salami, Momoh Jimoh Eyiomika and Ismail, Ahmad Faris and Lai, Weng Kin (2004) Dynamic keystroke analysis using AR model. In: IEEE International Conference on Industrial Technology, 8 - 10th December 2004, Hammamet; Tunisia. |
| spellingShingle | T Technology (General) Eltahir, Wasil Elsadig Salami, Momoh Jimoh Eyiomika Ismail, Ahmad Faris Lai, Weng Kin Dynamic keystroke analysis using AR model |
| title | Dynamic keystroke analysis using AR model |
| title_full | Dynamic keystroke analysis using AR model |
| title_fullStr | Dynamic keystroke analysis using AR model |
| title_full_unstemmed | Dynamic keystroke analysis using AR model |
| title_short | Dynamic keystroke analysis using AR model |
| title_sort | dynamic keystroke analysis using ar model |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/6951/1/Dynamic_Keystroke_Analysis_Using_AR_Model.pdf |
| work_keys_str_mv | AT eltahirwasilelsadig dynamickeystrokeanalysisusingarmodel AT salamimomohjimoheyiomika dynamickeystrokeanalysisusingarmodel AT ismailahmadfaris dynamickeystrokeanalysisusingarmodel AT laiwengkin dynamickeystrokeanalysisusingarmodel |