Schryen, Guido and Wagner, Gerit and Schlegel, Alexander (2016) Development of two novel face-recognition CAPTCHAs: A security and usability study. COMPUTERS & SECURITY, 60. pp. 95-116. ISSN 0167-4048, 1872-6208
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CAPTCHAs are challenge-response tests that aim at preventing unwanted machines, including bots, from accessing web services while providing easy access for humans. Recent advances in artificial-intelligence based attacks show that the level of security provided by many state-of-the-art text-based CAPTCHAs is declining. At the same time, techniques for distorting and obscuring the text, which are used to maintain the level of security, make text-based CAPTCHAs difficult to solve for humans, and thereby further degrade usability. The need for developing alternative types of CAPTCHAs that improve both the current security and the usability levels has been emphasized widely. With this study, we contribute to research through (1) the development of two new face recognition CAPTCHAs (Farett-Gender and Farett-Gender&Age), (2) the security analysis of both procedures, and (3) the provision of empirical evidence that one of the suggested CAPTCHAs (Farett-Gender) is similar to Google's reCAPTCHA and better than KCAPTCHA concerning effectiveness (error rates), superior to both regarding learnability and satisfaction but not efficiency. (C) 2016 Elsevier Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | WEB SECURITY; ALGORITHMS; CAPTCHA; Usability; Facial features; Gender classification; Age classification; Face recognition reverse Turing test |
| Subjects: | 600 Technology > 650 Management & auxiliary services |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik (Prof. Dr. Guido Schryen) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 09 Apr 2019 13:41 |
| Last Modified: | 09 Apr 2019 13:41 |
| URI: | https://pred.uni-regensburg.de/id/eprint/3711 |
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