Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
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.
How to cite this article:
Adebayo Omotosho, Ukeme Asanga, Emmanuel O. Asani, Joyce Ayoola and Paula Fiddi. Implicit Drag and Drop Image CAPTCHA for Web Security.
DOI: https://doi.org/10.36478/jeasci.2019.7669.7678
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.7669.7678