A Gesture-based CAPTCHA Design Supporting Mobile Devices

Authors: Jiang, N. and Dogan, H.

http://eprints.bournemouth.ac.uk/22153/

Start date: 13 July 2015

In this paper we present the design and evaluation of a mobile user friendly CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) scheme based on our previous work. Unlike the commonly used character recognition based CAPTCHA schemes that require a user to type the distorted characters shown in an image to pass security checks, this scheme allows a user to use gestures to operate specific objects on the screen so as to complete a CAPTCHA quiz. Moreover, it uses partially processed or distorted textual instruction to prevent a bot from easily figuring out the objects to operate for retaining the security of the scheme as a bot cannot utilize context effects as easily as human users can. A comparative study is also conducted to understand the usability performance of this gestured based scheme against Google ReCAPTCHA, a popular character recognition scheme, where better usability has been reported with the former when both were used on smartphones.

This data was imported from Scopus:

Authors: Jiang, N. and Dogan, H.

http://eprints.bournemouth.ac.uk/22153/

Journal: ACM International Conference Proceeding Series

Pages: 202-207

ISBN: 9781450336437

DOI: 10.1145/2783446.2783578

© 2015 ACM. In this paper we present the design and evaluation of a mobile user friendly CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) scheme based on our previous work. Unlike the commonly used character recognition based CAPTCHA schemes that require a user to type the distorted characters shown in an image to pass security checks, this scheme allows a user to use gestures to operate specific objects on the screen so as to complete a CAPTCHA quiz. Moreover, it uses partially processed or distorted textual instruction to prevent a bot from easily figuring out the objects to operate for retaining the security of the scheme as a bot cannot utilize context effects as easily as human users can. A comparative study is also conducted to understand the usability performance of this gestured based scheme against Google ReCAPTCHA, a popular character recognition scheme, where better usability has been reported with the former when both were used on smartphones.

This source preferred by Nan Jiang and Huseyin Dogan

This data was imported from Web of Science (Lite):

Authors: Jiang, N., Dogan, H. and ACM

http://eprints.bournemouth.ac.uk/22153/

Journal: BRITISH HCI 2015

Pages: 202-207

DOI: 10.1145/2783446.2783578

The data on this page was last updated at 04:42 on November 20, 2017.