CAPTCHA in Web Security and Deep-Captcha Configuration based on Machine learning

The evolution of several CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) web security approaches are examined in this research. Widely employed in online services, CAPTCHAs are intended to block automated bots and spam from accessing websites. The following section gives a brief review of the different kinds of CAPTCHAs that have been created throughout the years, including interactive, text-based, image-based, audio-based, and image-based CAPTCHAs. The work on CAPTCH security is because use of lot web services. After that, it carefully explores the idea of relay methods, explaining their working principles, medium noice algorithm, and innate drawbacks. A thorough evaluation of current relay techniques is done by use a shuffle method carefully pointing out both their advantages and disadvantages. Machine learning techniques have the revolutionary potential to completely change web security by offering a more reliable and user-friendly captcha solution, as the study’s conclusion makes clear. It also emphasizes how important it is to conduct additional research to overcome the shortcomings of the current deep learning techniques and improve their efficacy even more.