A Transparent CAPTCHAS Verification System for Cloud-Based Smart and Secure Applications

• Main Authors: Faizan Hussain Shah, Syed, Muhammad Ahmed Hassan Shah, Syed, Sajid Ullah, Syed, Yingta, Nurha
• Format: Conference Proceeding
• Language: English
• Subjects: Artificial intelligence; CAPTCHAs; Cloud applications; Cloud computing; CNN; Explianable AI; Long-Short Term Memory Networks; Security; Smart cities; smart verification; User experience
• ISSN: 2687-8860
• DOI: 10.1109/ISC257844.2023.10293665

In times of technological boom, web-based or internet applications use increases daily. Therefore, the need for security is increasing daily due to technological advancements. This paper presents a novel and Transparent CAPTCHA Verification System explicitly designed for cloud-based secure applications. The system generated text from image captchas using advanced deep-learning techniques. Another contribution to this system is that we utilized explainable AI (XAI) to ensure transparency throughout the working process. The generated explanations provide valuable insights into the conversion from image to text, fostering user trust and comprehension. The novel CAPTCHA Verification System has the capacity to significantly enhance the lives of individuals with disabilities (PwD) by providing an inclusive and user-centric approach for verifying their identity across diverse online platforms. By ensuring a transparent and precise transformation of image captchas into text, this system empowers PwD to effortlessly participate in cloud-based applications, enriching their digital interactions and overall well-being. This system has promising applications in various domains, especially in captcha-based verification, where it can significantly improve security and user experience.