Abstract
The Internet is one of important thing in an individual’s life and it has made a big changes. As many activities are performed by the Internet, we need specific system to prevent malicious Internet bot programs that take advantage of this convenience. Among them, security technology applying ‘Turing Test’ to distinguish whether a subject using a specific service is a human or machine is an important thing of security technology of computer science. A representative example is the CAPTCHA. However, the vulnerability was revealed by various studies and cases. For this reason, we propose a new user authentication method using sound and image.
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Acknowledgement
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2016R1A2B4011069).
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Ryu, J.H., Kim, N.Y., Moon, S.Y., Park, J.H. (2017). Telling Computer and Human Apart: Image-Sound Based CAPTCHA System. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_117
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DOI: https://doi.org/10.1007/978-981-10-5041-1_117
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