Typing Dynamics Biometric Authentication through Fuzzy Logic
The request to protect sensitive data and computer systems from malicious impostors while allowing ease of access for legitimate users is one of the greatest challenges in the computer security field. Traditionally, conventional ID and passwords authentication schemes are used for controlling access...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2008
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| Online Access: | http://shdl.mmu.edu.my/2928/ |
| _version_ | 1848790187119738880 |
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| author | Zhe, Jin Andrew Beng Jin, Teoh Thian Song, Ong Connie, Tee |
| author_facet | Zhe, Jin Andrew Beng Jin, Teoh Thian Song, Ong Connie, Tee |
| author_sort | Zhe, Jin |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | The request to protect sensitive data and computer systems from malicious impostors while allowing ease of access for legitimate users is one of the greatest challenges in the computer security field. Traditionally, conventional ID and passwords authentication schemes are used for controlling access to computer systems. However, this approach has many inherent flaws such as password sharing and password guessing. To confront these problems, we propose a dynamic typing biometric authentication method for computer security system. As a user's typing template cannot be shared, lost or forgotten. It can be reliable used to gain access to the computer system. In this paper, we examine the behavioral biometrics of typing dynamics which uses the manner and rhythm in which an individual types characters on a keyboard or keypad. Experiment shows that an equal error rate (EER) of 20% could be achieved using the proposed approach. This paper focuses on the application of fuzzy logic in typing dynamic and explores the advantages of using this method as compare to the statistical standard deviation. |
| first_indexed | 2025-11-14T18:08:37Z |
| format | Conference or Workshop Item |
| id | mmu-2928 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:37Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-29282011-09-23T06:24:33Z http://shdl.mmu.edu.my/2928/ Typing Dynamics Biometric Authentication through Fuzzy Logic Zhe, Jin Andrew Beng Jin, Teoh Thian Song, Ong Connie, Tee T Technology (General) QA75.5-76.95 Electronic computers. Computer science The request to protect sensitive data and computer systems from malicious impostors while allowing ease of access for legitimate users is one of the greatest challenges in the computer security field. Traditionally, conventional ID and passwords authentication schemes are used for controlling access to computer systems. However, this approach has many inherent flaws such as password sharing and password guessing. To confront these problems, we propose a dynamic typing biometric authentication method for computer security system. As a user's typing template cannot be shared, lost or forgotten. It can be reliable used to gain access to the computer system. In this paper, we examine the behavioral biometrics of typing dynamics which uses the manner and rhythm in which an individual types characters on a keyboard or keypad. Experiment shows that an equal error rate (EER) of 20% could be achieved using the proposed approach. This paper focuses on the application of fuzzy logic in typing dynamic and explores the advantages of using this method as compare to the statistical standard deviation. 2008-06 Conference or Workshop Item NonPeerReviewed Zhe, Jin and Andrew Beng Jin, Teoh and Thian Song, Ong and Connie, Tee (2008) Typing Dynamics Biometric Authentication through Fuzzy Logic. In: International Symposium on Information Technology , 30 JUN-01 JUL 2008, Univ Kebangsaan, Fac Informat Sci & Technol, Kuala Lumpur, MALAYSIA. http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=N1N4oJdL2GGbA1d4jaC&page=96&doc=960 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Zhe, Jin Andrew Beng Jin, Teoh Thian Song, Ong Connie, Tee Typing Dynamics Biometric Authentication through Fuzzy Logic |
| title | Typing Dynamics Biometric Authentication through Fuzzy Logic |
| title_full | Typing Dynamics Biometric Authentication through Fuzzy Logic |
| title_fullStr | Typing Dynamics Biometric Authentication through Fuzzy Logic |
| title_full_unstemmed | Typing Dynamics Biometric Authentication through Fuzzy Logic |
| title_short | Typing Dynamics Biometric Authentication through Fuzzy Logic |
| title_sort | typing dynamics biometric authentication through fuzzy logic |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2928/ http://shdl.mmu.edu.my/2928/ |