DocumentCode :
2836689
Title :
Key Classification: A New Approach in Free Text Keystroke Authentication System
Author :
Singh, Saurabh ; Arya, K.V.
Author_Institution :
Invertis Univ., Bareilly, India
fYear :
2011
fDate :
17-18 July 2011
Firstpage :
1
Lastpage :
5
Abstract :
Biometric methods are individual characteristics that cannot be used by imposters to enter in a secured system. Key stroke dynamics is a biometric utilizing the typing rhythm of the user. Key stroke dynamics is classified in two classes: (a) Fixed text based and (b) Free text based. We are proposing a novel technique for free text keystroke dynamics. In this method, keys are classified into two halves (left - right) and four lines (total eight groups) and then timing vectors (of flight time) are obtained between these key groups. Timing vectors are used to distinguish the legitimate user from imposters. The results obtained are very encouraging and supporting the approach followed in this work.
Keywords :
biometrics (access control); security of data; text analysis; user interfaces; biometric methods; free text keystroke dynamics; legitimate user; text authentication; Authentication; Databases; Neural networks; Presses; Rhythm; Support vector machine classification; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0855-8
Type :
conf
DOI :
10.1109/PACCS.2011.5990168
Filename :
5990168
Link To Document :
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