DocumentCode
2939126
Title
Execution Time Prediction for 3D Interactive CAPTCHA by Keystroke Level Model
Author
Ince, Ibrahim Furkan ; Salman, Yucel Batu ; Yildirim, Mustafa Eren ; Yang, Tae-Cheon
Author_Institution
Grad. Sch. of Digital Design, Kyungsung Univ., Busan, South Korea
fYear
2009
fDate
24-26 Nov. 2009
Firstpage
1057
Lastpage
1061
Abstract
CAPTCHA is a standard defense system which stands for completely automated public turing test to tell computers and human apart. The basic idea of CAPCHA is providing questions that human users can easily recognize and answer but computer programs cannot. In this study, an interactive 3D CAPTCHA was introduced, and developed for better security. The design and evaluation phases are presented in detail. The proposed model passed the necessary security tests. The keystroke level model (KLM) can be used to evaluate and predict task execution time for a specific system usage scenario. KLM is based on calculation on the sequences of the users´ tasks or actions. This study attempts to estimate execution times for 3D animated CAPTCHA by KLM. An interactive CAPTCHA method is developed by Flash Movie Technology which is used commonly in the Web sites. The results show that performing the 3D CAPTCHA requires a serious amount of time. New interaction methods should be considered to improve the users´ performance.
Keywords
Web sites; security of data; user interfaces; 3D interactive CAPTCHA; Flash Movie Technology; Web sites; automated public turing test; keystroke level model; task execution time prediction; Artificial intelligence; Automatic testing; Computer crime; Design engineering; Electronic equipment testing; Humans; Information security; Information technology; Internet; Predictive models; CAPCTHA; KLM; Keystroke Level Model; information security;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5244-6
Electronic_ISBN
978-0-7695-3896-9
Type
conf
DOI
10.1109/ICCIT.2009.105
Filename
5370892
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