TY  - JOUR
T1  - Implicit Drag and Drop Image CAPTCHA for Web Security
AU - Omotosho, Adebayo AU - Asanga, Ukeme AU - O. Asani, Emmanuel AU - Ayoola, Joyce AU - Fiddi, Paula 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 20
SP  - 7669
EP  - 7678
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7669.7678
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7669.7678
KW  - CAPTCHA
KW  -security
KW  -web application
KW  -bots
KW  -random clicker
KW  -drop boxes
AB  - This study proposes an implicit drag and drop image Completely Automated Public Turing test to
tell Computers and Humans Apart (CAPTCHA) that can be used in distinguishing human users from web bots.
The presented theoretical scheme will mitigate one of the problems associated with regular text-based
CAPTCHA which is the challenge of identifying text by users with low vision. The 2D images of basic shapes,
rather than text in a drag and drop CAPTCHA Mode were proposed to be presented to users and the relative
distance of the displayed images to the drop boxes is then used to manipulate the bits of confidence property
against a random clicker or bot. By following this approach, this research is expected to ease CAPTCHA usage
and improve security of online systems as well as reduce automatic access from web bots.
ER  -