Developing an empirical algorithm for protecting text-based CAPTCHAs against segmentation attacks

Pan, Lei and Zhou, Yan 2013, Developing an empirical algorithm for protecting text-based CAPTCHAs against segmentation attacks, in TrustCom 2013 : Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, IEEE, Piscataway, N.J., pp. 1-8.

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Title Developing an empirical algorithm for protecting text-based CAPTCHAs against segmentation attacks
Author(s) Pan, Lei
Zhou, Yan
Conference name IEEE Trust, Security and Privacy in Computing and Communications. Conference (12th : 2013 : Melbourne, Victoria)
Conference location Melbourne, Vic.
Conference dates 16-18 Jul. 2013
Title of proceedings TrustCom 2013 : Proceedings of the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE Trust, Security and Privacy in Computing and Communications Conference
Start page 1
End page 8
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Captcha
Image Segmentation
Image Processing
Taguchi Method
Orthogonal Arrays
Security
Summary In this paper, we aim to provide an effective and efficient method to generate text-based Captchas which are resilient against segmentation attack. Different to the popular industry practice of using very simple color schemes, we advocate to use multiple colors in our Captchas. We adopt the idea of brush and canvas when coloring our Captchas. Furthermore, we choose to use simple accumulating functions to achieve diffusion on painted colors and DES encryption to achieve a good level of confusion on the brush pattern. To facilitate ordinary users and developers, we propose an empirical algorithm with support of Taguchi method to guarantee the quality of the chosen color schemes. Our proposed methodology has at least three advantages — 1) the settings of color schemes can be fully customized by the user or developer; 2) the quality of selected colors have desirable statistical features that are ensured by Taguchi method; 3) the algorithm can be fully automated into computer programs. Moreover, our included examples and experiments prove the practicality and validity of our algorithm.
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 890201 Application Software Packages (excl. Computer Games)
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2013
Persistent URL http://hdl.handle.net/10536/DRO/DU:30058555

Document type: Conference Paper
Collection: School of Information Technology
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Created: Wed, 27 Nov 2013, 12:18:27 EST by Lei Pan

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