Title :
A Spelling Based CAPTCHA System by Using Click
Author :
Hwang, Kuo-Feng ; Huang, Cian-Cih ; You, Geeng-Neng
Author_Institution :
Dept. of Multimedia Design, Nat. Taichung Univ. of Sci. & Technol., Taichung, Taiwan
Abstract :
CAPTCHA has been widely used for preventing malicious programs to access web resources automatically. In this paper, a new type CAPTCHA system will be proposed. The proposed scheme, named Click spell, combined the features of text-based and image-based CAPTCHAs. Click spell asks users to spell a randomly chosen word by clicking distorted letters for passing the test. Users can learn the definition(s) of the chosen word. In addition, Click spell can add an advertisement image optionally. Thanks to the advertisement image, Click spell improved the capability of resistance to the attack by malicious programs. Our preliminary test showed that Click spell is practical in the aspects of security and usability.
Keywords :
Web services; optical character recognition; security of data; text analysis; Clickspell; advertisement image; automatic Web resource access; completely automated public turing test to tell computers and humans apart; image-based CAPTCHA; malicious program prevention; spelling based CAPTCHA system; text-based CAPTCHA; Dictionaries; Noise; Optical character recognition software; Robots; Security; Usability; Web services; CAPTCHA; Image Processing; Information Security; Internet Security; Optical Character Recognition (OCR);
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2012 International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0917-2
DOI :
10.1109/ISBAST.2012.17