---
_id: '5617'
abstract:
- lang: eng
  text: 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 diffcult to solve
    for humans, and thereby further degrade usability. The need for developing alternative
    types of CAPTCHAs which improve both, the current security and usability levels,
    has been emphasized by several researchers. 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
    effciency.
author:
- first_name: Guido
  full_name: Schryen, Guido
  id: '72850'
  last_name: Schryen
- first_name: Gerit
  full_name: Wagner, Gerit
  last_name: Wagner
- first_name: Alexander
  full_name: Schlegel, Alexander
  last_name: Schlegel
citation:
  ama: 'Schryen G, Wagner G, Schlegel A. Development of two novel face-recognition
    CAPTCHAs: a security and usability study. <i>Computers &#38; Security</i>. 2016;60(July):95-116.'
  apa: 'Schryen, G., Wagner, G., &#38; Schlegel, A. (2016). Development of two novel
    face-recognition CAPTCHAs: a security and usability study. <i>Computers &#38;
    Security</i>, <i>60</i>(July), 95–116.'
  bibtex: '@article{Schryen_Wagner_Schlegel_2016, title={Development of two novel
    face-recognition CAPTCHAs: a security and usability study}, volume={60}, number={July},
    journal={Computers &#38; Security}, publisher={Elsevier}, author={Schryen, Guido
    and Wagner, Gerit and Schlegel, Alexander}, year={2016}, pages={95–116} }'
  chicago: 'Schryen, Guido, Gerit Wagner, and Alexander Schlegel. “Development of
    Two Novel Face-Recognition CAPTCHAs: A Security and Usability Study.” <i>Computers
    &#38; Security</i> 60, no. July (2016): 95–116.'
  ieee: 'G. Schryen, G. Wagner, and A. Schlegel, “Development of two novel face-recognition
    CAPTCHAs: a security and usability study,” <i>Computers &#38; Security</i>, vol.
    60, no. July, pp. 95–116, 2016.'
  mla: 'Schryen, Guido, et al. “Development of Two Novel Face-Recognition CAPTCHAs:
    A Security and Usability Study.” <i>Computers &#38; Security</i>, vol. 60, no.
    July, Elsevier, 2016, pp. 95–116.'
  short: G. Schryen, G. Wagner, A. Schlegel, Computers &#38; Security 60 (2016) 95–116.
date_created: 2018-11-14T14:00:47Z
date_updated: 2022-01-06T07:02:10Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
  content_type: application/pdf
  creator: hsiemes
  date_created: 2018-12-07T11:38:19Z
  date_updated: 2018-12-13T15:07:36Z
  file_id: '6029'
  file_name: cose_991_final.pdf
  file_size: 2983143
  relation: main_file
file_date_updated: 2018-12-13T15:07:36Z
has_accepted_license: '1'
intvolume: '        60'
issue: July
keyword:
- CAPTCHA
- Usability
- Facial features
- Gender classiffcation
- Age classification
- Face recognition reverse Turing test
language:
- iso: eng
oa: '1'
page: 95-116
publication: Computers & Security
publisher: Elsevier
status: public
title: 'Development of two novel face-recognition CAPTCHAs: a security and usability
  study'
type: journal_article
user_id: '61579'
volume: 60
year: '2016'
...