Abstract
This paper attempts to present a new idea of data understanding and security processes for visual CAPTCHA recognition and interpretation. The proposition is dedicated to using visual CAPTCHA application including understanding processes, semantic analysis and recognition, to information security aspects. A new CAPTCHA scheme dedicated to authentication procedures with distortion algorithms will also be presented. In our solution we propose various shape and size distortions as well as new type of added noise. Paper in particular will present new directions of CAPTCHA applications, especially for understanding, security and support data management processes.
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This work has been supported by the AGH University of Science and Technology Research Grant No. 11.11.200.307.
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Krzyworzeka, N., Ogiela, L. (2018). Security and Understanding Techniques for Visual CAPTCHA Interpretation. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_26
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DOI: https://doi.org/10.1007/978-3-319-69835-9_26
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