Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm
The emergence of global network access has promoted increased chances of malicious attack and intrusion. Password authentication has been known as the most commonly safeguard measure against these intrusions. Common it is, but the security measures that it provides have always been questionable. Thu...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2001
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| Online Access: | http://irep.iium.edu.my/36830/ http://irep.iium.edu.my/36830/ http://irep.iium.edu.my/36830/1/asilomar.pdf |
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iium-36830 |
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iium-368302014-06-05T06:06:12Z http://irep.iium.edu.my/36830/ Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm Mohd Hassan Wong , Fadhli Wong Mohd Supian, Ainil Sufreena Ismail, Ahmad Faris Lai, Weng Kin Ong, Cheng Soon TK7885 Computer engineering The emergence of global network access has promoted increased chances of malicious attack and intrusion. Password authentication has been known as the most commonly safeguard measure against these intrusions. Common it is, but the security measures that it provides have always been questionable. Thus, it gives rise to the need for a more secure and reliable authentication method in accessing computer systems. This paper proposes the design and development of a real time enhanced password security system through typing biometrics. Typing biometrics deals with the analysis of the unique habitual typing rhythms of individuals. The paper depicts the use of time latency between keystrokes to create typing patterns for individuals. Time latencies are extracted and classified accordingly; they are then used to recognize authentic users and reject imposters. The performance of both artificial neural networks and k-nearest neighbors as possible classifiers for this purpose were studied. 2001 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/36830/1/asilomar.pdf Mohd Hassan Wong , Fadhli Wong and Mohd Supian, Ainil Sufreena and Ismail, Ahmad Faris and Lai, Weng Kin and Ong, Cheng Soon (2001) Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm. In: Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on, 04 -07 Nov 2001, Pacific Grove, CA, USA . http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=987628 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
TK7885 Computer engineering |
| spellingShingle |
TK7885 Computer engineering Mohd Hassan Wong , Fadhli Wong Mohd Supian, Ainil Sufreena Ismail, Ahmad Faris Lai, Weng Kin Ong, Cheng Soon Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| description |
The emergence of global network access has promoted increased chances of malicious attack and intrusion. Password authentication has been known as the most commonly safeguard measure against these intrusions. Common it is, but the security measures that it provides have always been questionable. Thus, it gives rise to the need for a more secure and reliable authentication method in accessing computer systems. This paper proposes the design and development of a real time enhanced password security system through typing biometrics. Typing biometrics deals with the analysis of the unique habitual typing rhythms of individuals. The paper depicts the use of time latency between keystrokes to create typing patterns for individuals. Time latencies are extracted and classified accordingly; they are then used to recognize authentic users and reject imposters. The performance of both artificial neural networks and k-nearest neighbors as possible classifiers for this purpose were studied. |
| format |
Conference or Workshop Item |
| author |
Mohd Hassan Wong , Fadhli Wong Mohd Supian, Ainil Sufreena Ismail, Ahmad Faris Lai, Weng Kin Ong, Cheng Soon |
| author_facet |
Mohd Hassan Wong , Fadhli Wong Mohd Supian, Ainil Sufreena Ismail, Ahmad Faris Lai, Weng Kin Ong, Cheng Soon |
| author_sort |
Mohd Hassan Wong , Fadhli Wong |
| title |
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| title_short |
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| title_full |
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| title_fullStr |
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| title_full_unstemmed |
Enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| title_sort |
enhanced user authentication through typing biometrics with artificial neural networks and k-nearest neighbor algorithm |
| publishDate |
2001 |
| url |
http://irep.iium.edu.my/36830/ http://irep.iium.edu.my/36830/ http://irep.iium.edu.my/36830/1/asilomar.pdf |
| first_indexed |
2023-09-18T20:52:48Z |
| last_indexed |
2023-09-18T20:52:48Z |
| _version_ |
1777410107068383232 |