Year: 2025
Type: article
Abstract: Web security is a critical aspect of modern life, as the increasing reliance on internet services exposes systems to various cyber threats. Au-Automated hacking tools exploiting registration systems with false information often led to bandwidth issues and Distributed Denial of Service (DDoS) attacks. CAPTCHA remains a widely used mechanism for distinguishing between humans and automated systems. However, simple CAPTCHAs are easily bypassed by advanced AI, while complex ones can frustrate genuine users. This research presents an innovative B3DA (Biometric 3D Animated) CAPTCHA algorithm that integrates AI for Face Recognition with randomly generated Three-dimensional animated characters. The proposed solution creates CAPTCHAs that are intuitive for people to handle but pose significant challenges in the context of automated systems. By combining handwritten 3D animated characters into randomized strings, the B3DA CAPTCHA algorithm enhances security and usability. Experimental results validate the algorithm's robustness against bot-driven attacks, demonstrating its ability to withstand sophisticated breaches while leveraging machine learning for continuous improvement. The B3DA CAPTCHA algorithm offers a transformative approach to CAPTCHA design, effectively balancing user convenience and resistance to automated hacking tools, marking a significant advancement in web security solutions.
DOI: 10.14419/fab5t109
Authors: Dr. Neha Bora, Pradyumna M. Bora, Dr. Vaishali S. Tidake, Ghanshyam P. Dhomse, Deepali P. Pawar
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409434300