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. Attached Files Name Description MIMEType Size Downloads 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 Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 27 Nov 2013, 12:18:53 EST Thu, 28 Nov 2013, 07:43:36 EST Thu, 12 Dec 2013, 14:53:17 EST Thu, 12 Dec 2013, 15:37:41 EST Thu, 12 Dec 2013, 15:38:30 EST Thu, 12 Dec 2013, 17:58:41 EST Thu, 12 Dec 2013, 18:01:27 EST Tue, 28 Jan 2014, 09:44:10 EST Tue, 28 Jan 2014, 09:49:11 EST Mon, 10 Feb 2014, 14:45:23 EST Tue, 11 Feb 2014, 08:02:41 EST Fri, 17 Oct 2014, 12:30:09 EST Wed, 21 Oct 2015, 14:55:46 EST Wed, 21 Oct 2015, 18:37:40 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 165 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Wed, 27 Nov 2013, 12:18:27 EST by Lei Pan

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