Telling computer and human apart: Image-sound based CAPTCHA system

Jung Hyun Ryu; Nam Yong Kim; Seo Yeon Moon; Jong Hyuk Park

doi:10.1007/978-981-10-5041-1_117

Telling computer and human apart: Image-sound based CAPTCHA system

Jung Hyun Ryu, Nam Yong Kim, Seo Yeon Moon, Jong Hyuk Park

Dept. of Computer Science and Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017
Editors	James J. Park, Shu-Ching Chen, Kim-Kwang Raymond Choo
Publisher	Springer Verlag
Pages	733-736
Number of pages	4
ISBN (Print)	9789811050404
DOIs	https://doi.org/10.1007/978-981-10-5041-1_117
State	Published - 2017
Event	12th International Conference on Future Information Technology, FutureTech 2017 - Seoul, Korea, Republic of Duration: 22 May 2017 → 24 May 2017

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	448
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	12th International Conference on Future Information Technology, FutureTech 2017
Country/Territory	Korea, Republic of
City	Seoul
Period	22/05/17 → 24/05/17

Keywords

Authentication
CAPTCHA
Computer security

Access to Document

10.1007/978-981-10-5041-1_117

Cite this

Ryu, J. H., Kim, N. Y., Moon, S. Y., & Park, J. H. (2017). Telling computer and human apart: Image-sound based CAPTCHA system. In J. J. Park, S.-C. Chen, & K.-K. Raymond Choo (Eds.), Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017 (pp. 733-736). (Lecture Notes in Electrical Engineering; Vol. 448). Springer Verlag. https://doi.org/10.1007/978-981-10-5041-1_117

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title = "Telling computer and human apart: Image-sound based CAPTCHA system",

abstract = "The Internet is one of important thing in an individual{\textquoteright}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 {\textquoteleft}Turing Test{\textquoteright} 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.",

keywords = "Authentication, CAPTCHA, Computer security",

author = "Ryu, \{Jung Hyun\} and Kim, \{Nam Yong\} and Moon, \{Seo Yeon\} and Park, \{Jong Hyuk\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 12th International Conference on Future Information Technology, FutureTech 2017 ; Conference date: 22-05-2017 Through 24-05-2017",

year = "2017",

doi = "10.1007/978-981-10-5041-1\_117",

language = "English",

isbn = "9789811050404",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "733--736",

editor = "Park, \{James J.\} and Shu-Ching Chen and \{Raymond Choo\}, Kim-Kwang",

booktitle = "Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017",

}

Ryu, JH, Kim, NY, Moon, SY & Park, JH 2017, Telling computer and human apart: Image-sound based CAPTCHA system. in JJ Park, S-C Chen & K-K Raymond Choo (eds), Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017. Lecture Notes in Electrical Engineering, vol. 448, Springer Verlag, pp. 733-736, 12th International Conference on Future Information Technology, FutureTech 2017, Seoul, Korea, Republic of, 22/05/17. https://doi.org/10.1007/978-981-10-5041-1_117

Telling computer and human apart: Image-sound based CAPTCHA system. / Ryu, Jung Hyun; Kim, Nam Yong; Moon, Seo Yeon et al.
Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017. ed. / James J. Park; Shu-Ching Chen; Kim-Kwang Raymond Choo. Springer Verlag, 2017. p. 733-736 (Lecture Notes in Electrical Engineering; Vol. 448).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Telling computer and human apart

T2 - 12th International Conference on Future Information Technology, FutureTech 2017

AU - Ryu, Jung Hyun

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AU - Park, Jong Hyuk

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Authentication

KW - CAPTCHA

KW - Computer security

UR - https://www.scopus.com/pages/publications/85019679306

U2 - 10.1007/978-981-10-5041-1_117

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M3 - Conference contribution

AN - SCOPUS:85019679306

SN - 9789811050404

T3 - Lecture Notes in Electrical Engineering

SP - 733

EP - 736

BT - Advanced Multimedia and Ubiquitous Engineering - MUE/FutureTech 2017

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PB - Springer Verlag

Y2 - 22 May 2017 through 24 May 2017

ER -

Telling computer and human apart: Image-sound based CAPTCHA system

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