CAPTCHA Designing techniques and development of CAPTCHA System based on B3AC Algorithm

Abstract

Our everyday life now heavily relies on the internet and online security. Most businesses provide their customers internet services. Yet, malicious automated hacking software occasionally attempts to target websites to slow the server. Users must provide their personal information on sign-in or sign-up forms during online registration or booking in order to access and use relevant website functionalities. Only the actual user, who is a human, is expected to register. However, automated hacking programs can also do bandwidth-intensive registrations that slow down or occasionally even shut down websites, resulting in DDOS attacks. These programs automatically fill out forms with fictitious, erroneous data in order to increase traffic and slow down the server. To continue utilizing the website and resources, this is done. The creation of several bogus accounts may result from this. The main challenge for researchers is determining whether incoming queries are coming from software or humans. CAPTCHA is the solution to this problem (Completely Automated Public Turing test to tell Computers and Human Apart). Computer programs struggle to understand and react to questions presented by CAPTCHA, although human users can. Simple CAPTCHA is easy for AI to understand, but complex CAPTCHA is difficult for humans to identify. A new CAPTCHA is required, and it must be both simple to use and extremely challenging for computers to recognize. This research explored three types of CAPTCHA technologies: handwritten text CAPTCHA, face recognition CAPTCHA, and 3D CAPTCHA. Handwritten text CAPTCHAs can be more difficult for automated programs to interpret and solve and can provide a more accessible and engaging user experience. Face recognition CAPTCHAs use facial recognition technology to verify whether a user is a human or a bot, with facial landmarks detection technology providing more accurate results. 3D CAPTCHAs, rendered in three dimensions, can improve security by making it more difficult for bots to solve. The dimensions of a CAPTCHA can impact its effectiveness in preventing automated attacks.