User identification using Keystroke Dynamics Tuşlara basma dinamikleri kullanilarak kullanici tanimlama
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.1083-1085, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2014.6830421
- Basıldığı Şehir: Trabzon
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1083-1085
- Anahtar Kelimeler: biometric, keystroke dynamics, user identification
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Traditional user authentication or identification systems are interested in something that you possess (like a key, an identification card, etc.) or something you already know (like a password, or a PIN). With biometrics, this interest has been shifted towards a different approach :something that are part of you (fingerprints or face) or something you make (e.g., handwritten signature or voice). Identification system works in such a way that the system obtains one sample and compares with each record in the database. This method is a comparison named 'one-to-many. Behaviours and rhythms of the typing characters are used as a biometric authentication system named as Keystroke Dynamics. Unlike most identification systems that require specific hardware, keystroke dynamics requires only a keyboard. In the proposed approach, short fixed text is used like in the login approaches. The d-variate Gaussian, kNN and decision tree algorithms are tested on CMU keystroke database. © 2014 IEEE.