| Title | Implementation of Machine Learning for CAPTCHAs Authentication Using Facial Recognition |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Raavi, Rupendra, Alqarni, Mansour, Hung, Patrick C.K |
| Conference Name | 2022 IEEE International Conference on Data Science and Information System (ICDSIS) |
| Keywords | authentication, captchas, chatbots, composability, face recognition, facial recognition, Hardware, Human Behavior, machine learning, machine learning algorithms, pubcrawl, web security, Webcams |
| Abstract | Web-based technologies are evolving day by day and becoming more interactive and secure. Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is one of the security features that help detect automated bots on the Web. Earlier captcha was complex designed text-based, but some optical recognition-based algorithms can be used to crack it. That is why now the captcha system is image-based. But after the arrival of strong image recognition algorithms, image-based captchas can also be cracked nowadays. In this paper, we propose a new captcha system that can be used to differentiate real humans and bots on the Web. We use advanced deep layers with pre-trained machine learning models for captchas authentication using a facial recognition system. |
| DOI | 10.1109/ICDSIS55133.2022.9915865 |
| Citation Key | raavi_implementation_2022 |
Implementation of Machine Learning for CAPTCHAs Authentication Using Facial Recognition