CAPTCHA in the Age of Automation: Enhancing Security and Ensuring User Convenience

CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a security feature commonly used to distinguish human users from bots. This paper provides an in-depth review of different CAPTCHA methods, such as text, image, audio, and video-based systems. It explores the progression of CAPTCHA technologies, focusing on their role in preventing automated attacks while also addressing issues like accessibility for users with disabilities. Furthermore, recent innovations, including machine learning-powered reCAPTCHA systems, are evaluated for their potential to improve security and the challenges they pose for user convenience. The analysis highlights the need for more inclusive and flexible CAPTCHA solutions to keep pace with the ever-evolving capabilities of automated bots.