Authentication personal

Author

Boechat, Gláucya C. ; Ferreira, Jeneffer C. ; Filho, Edson C B Carvalho

Author_Institution

Comput. Sci. Center, Fed. Univ. of Pernambuco (UFPE), Recife

fYear

2007

fDate

25-28 Nov. 2007

Firstpage

254

Lastpage

256

Abstract

This paper presents a boarding on biometric authentication through the Keystroke Dynamics that it intends to identify a person from the habitual rhythm to type your complete name in a conventional keyboard. Two features (e.g., durations of keystrokes, and latencies between keystrokes) and experiments using samples for genuines and impostors user were performed using two pattern classification techniques. The results show that the use of the Keystroke Dynamics is simple and efficient for personal authentication, getting optimum resulted using 90% of the features with 3,83% FRR and 0% FAR.

Keywords

biometrics (access control); pattern classification; biometric authentication; keystroke durations; keystroke dynamics; keystrokes latencies; pattern classification techniques; personal authentication; Authentication; Biometrics; Computer science; Data mining; Delay; Feature extraction; Intelligent systems; Keyboards; Pattern classification; Rhythm; Biometrics; Keystroke Dynamics; Pattern Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-1355-3

Electronic_ISBN

978-1-4244-1356-0

Type

conf

DOI

10.1109/ICIAS.2007.4658385

Filename

4658385