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

URN to cite this document:: urn:nbn:de:bvb:355-epub-335707
DOI to cite this document:: 10.5283/epub.33570

Schryen, Guido

; Wagner, Gerit

; Schlegel, Alexander

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

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Item type:	Article
Journal or Publication Title:	Computers & Security
Publisher:	Elsevier
Volume:	60
Number of Issue or Book Chapter:	July
Page Range:	pp. 95-116
Date:	2016
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Alumni or Retired Professors > 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

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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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