Abstract
Multiple web platforms are an imminent need of web security mechanisms to prevent vulnerable attacks, automated spammers and breach of data. One such security mechanism is to ensure that only authenticated users access them and one such cybersecurity algorithm is CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart). In this paper, we have designed novel and efficient text CAPTCHA schemes named MACS-TCHA (Manipulation of Alphanumeric characters, Colors and Shapes—Turing test to tell Computers and Human Apart). These CAPTCHAs are developed by manipulating alphanumeric characters, shapes and colors for better usability. Various user survey studies with different factors have evaluated our proposed CAPTCHA with significant improvement in terms of its usability.
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Kumar, T., Goel, N., Roy, S., Oswald, C. (2022). Usability Evaluation of Novel Text CAPTCHA Schemes Based on Colors and Shapes. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1388. Springer, Singapore. https://doi.org/10.1007/978-981-16-2597-8_30
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DOI: https://doi.org/10.1007/978-981-16-2597-8_30
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