An evolutionary keystroke authentication based on ellipsoidal hypothesis space
| Autor: | Jaewook Lee, Byung-Ro Moon, Sung-Soon Choi |
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| Rok vydání: | 2007 |
| Předmět: |
Scheme (programming language)
Authentication Theoretical computer science Biometrics Computer science Stability (learning theory) computer.software_genre Keystroke logging Keystroke dynamics Data mining Adaptation (computer science) computer Computer Science::Cryptography and Security computer.programming_language |
| Zdroj: | GECCO |
| DOI: | 10.1145/1276958.1277365 |
| Popis: | Keystroke authentication is a biometric method utilizing the typing characteristics of users. In this paper, we propose an evolutionary method for stable keystroke authentication. In the method, typing characteristics of users are represented by n-dimensional vectors and an ellipsoidal hypothesis space, which distinguishes a collection of the timing vectors of a user from those of the others, is evolved by a genetic algorithm. A filtering scheme and an adaptation mechanism are also presented to improve the stability and effectiveness of the proposed method. Empirical results show that the error rates of our method for authentication are reasonably small. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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