Abstract | ||
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This paper introduces a novel approach for free-text keystroke dynamics authentication which incorporates the use of the keyboard's key-layout. The method extracts timing features from specific key-pairs. The Euclidean distance is then utilized to find the level of similarity between a user's profile data and his/her test data. The results obtained from this method are reasonable for free-text authentication while maintaining the maximum level of user relaxation. Moreover, it has been proven in this study that flight time yields better authentication results when compared with dwell time. In particular, the results were obtained with only one training sample for the purpose of practicality and ease of real life application. |
Year | DOI | Venue |
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2013 | 10.1109/SMC.2013.793 | SMC |
Keywords | Field | DocType |
practical applications,free-text,authentication,free-text authentication,method extracts timing feature,keyboards,user-friendly free-text keystroke dynamics authentication,keyboard key-layout,user-friendly free-text keystroke dynamics,maximum level,timing feature extraction,profile data,keystroke dynamics,user relaxation,dwell time,feature extraction,authorisation,flight time yield,authentication result,test data,free-text keystroke dynamics authentication,key-pair,euclidean distance,euclidian distance | Data mining,Authentication,Computer science,Computer security,Artificial intelligence,Public-key cryptography,Dwell time,Euclidean distance,Keystroke dynamics,Feature extraction,Test data,User Friendly,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 3 | 0.39 |
References | Authors | |
5 | 2 |
Name | Order | Citations | PageRank |
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Arwa Alsultan | 1 | 11 | 1.92 |
Kevin Warwick | 2 | 129 | 21.37 |