Strengthening Applications' Security with Handwritten Arabic Calligraphy Captcha

Abstract

Researchers are turning to advanced networks and technology to help cities manage resource constraints. With this continuing development in cities, smart mobility applications, that mitigate problems in citizen's life, are anticipated to increase exponentially in the coming period. Connected computers and mobiles are attacked by software robots and spiders acting as human beings to gain access. Various systems, referred to as CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart), are widely employed to leverage the aesthetic complexity of Arabic script while effectively thwarting automated attacks. This paper introduces a method aimed at differentiating Arabic-speaking users from computer programs using Arabic texts. We present novel methods and techniques for generating captchas with Arabic handwritten calligraphy, focusing on balancing readability and security. Through extensive testing and evaluation, we demonstrate the effectiveness of our approach in resisting automated attacks while ensuring a seamless user experience. Our findings underscore the potential of leveraging Arabic handwritten calligraphy in captcha generation to enhance online security, offering a promising avenue for mitigating automated threats in the digital landscape.