Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Keystroke dynamics based authentication is one of the prevention mechanisms used to protect one’s account from criminals’ illegal access.
In this authentication mechanism, keystroke dynamics are used to capture patterns in a user typing behavior.
Sequence alignment is shown to be one of effective algorithms for keystroke dynamics based authentication, by comparing the sequences of keystroke data to detect imposter’s anomalous sequences.
In previous research, static divisor has been used for sequence generation from the keystroke data, which is a number used to divide a time difference of keystroke data into an equal-length subinterval.
After the division, the subintervals are mapped to alphabet letters to form sequences.
One major drawback of this static divisor is that the amount of data for this subinterval generation is often insufficient, which leads to premature termination of subinterval generation and consequently causes inaccurate sequence alignment.
To alleviate this problem, we introduce sequence alignment of dynamic divisor (SADD) in this paper.
In SADD, we use mean of Horner’s rule technique to generate dynamic divisors and apply them to produce the subintervals with different length.
The comparative experimental results with SADD and other existing algorithms indicate that SADD is usually comparable to and often outperforms other existing algorithms.
American Psychological Association (APA)
Ho, Jiacang& Kang, Dae-Ki. 2015. Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication. Journal of Sensors،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1070230
Modern Language Association (MLA)
Ho, Jiacang& Kang, Dae-Ki. Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication. Journal of Sensors No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1070230
American Medical Association (AMA)
Ho, Jiacang& Kang, Dae-Ki. Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1070230
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070230