A secure annuli CAPTCHA system
Issued Date
2023-02-01
Resource Type
ISSN
01674048
Scopus ID
2-s2.0-85145576556
Journal Title
Computers and Security
Volume
125
Rights Holder(s)
SCOPUS
Bibliographic Citation
Computers and Security Vol.125 (2023)
Suggested Citation
Zhang J., Tsai M.Y., Kitchat K., Sun M.T., Sakai K., Ku W.S., Surasak T., Thaipisutikul T. A secure annuli CAPTCHA system. Computers and Security Vol.125 (2023). doi:10.1016/j.cose.2022.103025 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/81783
Title
A secure annuli CAPTCHA system
Other Contributor(s)
Abstract
Many websites and applications rely on CAPTCHA for protection from bot attacks. Otherwise, users and businesses will be exposed to risks. Although several different CAPTCHA systems have been proposed, the development of deep learning algorithms allows attackers to create more efficient and accurate attack methods. Many studies have shown that existing CAPTCHA systems are no longer safe, especially text-based CAPTCHA. To resolve this issue, a simple, secure, and effective annuli CAPTCHA system is proposed in this paper. In the proposed system, the annuli CAPTCHA image containing the overlapping of circles and ovals is randomly generated. The user wishing to gain access to the system is required to answer correctly the total number of circles and ovals in the image to prove that he/she is not a bot. The security of our proposed CAPTCHA system is verified by three attack methods. Additionally, the usability survey of our CAPTCHA system conducted by anonymous questionnaires shows that our system is user friendly. In other words, the proposed system maintains a high level of usability under the premise of high security. Compared with the existing CAPTCHA system, our CAPTCHA system is significantly better in terms of security, usability and ease of implementation.