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Development of two novel face-recognition CAPTCHAs: a security and usability study

Schryen, Guido , Wagner, Gerit and Schlegel, Alexander (2016) Development of two novel face-recognition CAPTCHAs: a security and usability study. Computers & Security 60 (July), pp. 95-116.

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Date of publication of this fulltext: 31 Mar 2016 11:50

Abstract

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 ...

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Item type:Article
Date:2016
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Professur für Wirtschaftsinformatik (Prof. Dr. Guido Schryen)
Keywords:CAPTCHA, Usability, Facial features, Gender classiffcation, Age classification, Face recognition reverse Turing test
Dewey Decimal Classification:000 Computer science, information & general works > 004 Computer science
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:33570
Owner only: item control page

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