Exploration of 3D texture and projection for new CAPTCHA design

Simon S. Woo; Jingul Kim; Duoduo Yu; Beomjun Kim

doi:10.1007/978-3-319-56549-1_30

Exploration of 3D texture and projection for new CAPTCHA design

Simon S. Woo, Jingul Kim, Duoduo Yu, Beomjun Kim

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

3 Scopus citations

Abstract

Most of current text-based CAPTCHAs have been shown to be easily breakable. In this work, we present two novel 3D CAPTCHA designs, which are more secure than current 2D text CAPTCHAs, against automated attacks. Our approach is to display CAPTCHA characters onto 3D objects to improve security. We exploit difficulty for machines in rotating 3D objects to find a correct view point and in further recognizing characters in 3D, both tasks that humans can easily perform. Using an offline automated computer vision attack, we found that 82% of the new text reCAPTCHA characters were successfully detected, while approximately 60% of our 3D CAPTCHAs were detected only if characters were focused and zoomed from the direct view point. When CAPTCHAs are presented in slightly different views, the attack success rates against our approaches are reduced to almost 0%.

Original language	English
Title of host publication	Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers
Editors	Dooho Choi, Sylvain Guilley
Publisher	Springer Verlag
Pages	353-365
Number of pages	13
ISBN (Print)	9783319565484
DOIs	https://doi.org/10.1007/978-3-319-56549-1_30
State	Published - 2017
Externally published	Yes
Event	17th International Workshop on Information Security Applications, WISA 2016 - Jeju Island, Korea, Republic of Duration: 25 Aug 2016 → 25 Aug 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10144 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Workshop on Information Security Applications, WISA 2016
Country/Territory	Korea, Republic of
City	Jeju Island
Period	25/08/16 → 25/08/16

Keywords

3D
Authentication
CAPTCHA

Access to Document

10.1007/978-3-319-56549-1_30

Cite this

Woo, S. S., Kim, J., Yu, D., & Kim, B. (2017). Exploration of 3D texture and projection for new CAPTCHA design. In D. Choi, & S. Guilley (Eds.), Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers (pp. 353-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10144 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-56549-1_30

Woo, Simon S. ; Kim, Jingul ; Yu, Duoduo et al. / Exploration of 3D texture and projection for new CAPTCHA design. Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers. editor / Dooho Choi ; Sylvain Guilley . Springer Verlag, 2017. pp. 353-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Exploration of 3D texture and projection for new CAPTCHA design",

abstract = "Most of current text-based CAPTCHAs have been shown to be easily breakable. In this work, we present two novel 3D CAPTCHA designs, which are more secure than current 2D text CAPTCHAs, against automated attacks. Our approach is to display CAPTCHA characters onto 3D objects to improve security. We exploit difficulty for machines in rotating 3D objects to find a correct view point and in further recognizing characters in 3D, both tasks that humans can easily perform. Using an offline automated computer vision attack, we found that 82\% of the new text reCAPTCHA characters were successfully detected, while approximately 60\% of our 3D CAPTCHAs were detected only if characters were focused and zoomed from the direct view point. When CAPTCHAs are presented in slightly different views, the attack success rates against our approaches are reduced to almost 0\%.",

keywords = "3D, Authentication, CAPTCHA",

author = "Woo, \{Simon S.\} and Jingul Kim and Duoduo Yu and Beomjun Kim",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Workshop on Information Security Applications, WISA 2016 ; Conference date: 25-08-2016 Through 25-08-2016",

year = "2017",

doi = "10.1007/978-3-319-56549-1\_30",

language = "English",

isbn = "9783319565484",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Woo, SS, Kim, J, Yu, D & Kim, B 2017, Exploration of 3D texture and projection for new CAPTCHA design. in D Choi & S Guilley (eds), Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10144 LNCS, Springer Verlag, pp. 353-365, 17th International Workshop on Information Security Applications, WISA 2016, Jeju Island, Korea, Republic of, 25/08/16. https://doi.org/10.1007/978-3-319-56549-1_30

Exploration of 3D texture and projection for new CAPTCHA design. / Woo, Simon S.; Kim, Jingul; Yu, Duoduo et al.
Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers. ed. / Dooho Choi; Sylvain Guilley . Springer Verlag, 2017. p. 353-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10144 LNCS).

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

TY - GEN

T1 - Exploration of 3D texture and projection for new CAPTCHA design

AU - Woo, Simon S.

AU - Kim, Jingul

AU - Yu, Duoduo

AU - Kim, Beomjun

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Most of current text-based CAPTCHAs have been shown to be easily breakable. In this work, we present two novel 3D CAPTCHA designs, which are more secure than current 2D text CAPTCHAs, against automated attacks. Our approach is to display CAPTCHA characters onto 3D objects to improve security. We exploit difficulty for machines in rotating 3D objects to find a correct view point and in further recognizing characters in 3D, both tasks that humans can easily perform. Using an offline automated computer vision attack, we found that 82% of the new text reCAPTCHA characters were successfully detected, while approximately 60% of our 3D CAPTCHAs were detected only if characters were focused and zoomed from the direct view point. When CAPTCHAs are presented in slightly different views, the attack success rates against our approaches are reduced to almost 0%.

AB - Most of current text-based CAPTCHAs have been shown to be easily breakable. In this work, we present two novel 3D CAPTCHA designs, which are more secure than current 2D text CAPTCHAs, against automated attacks. Our approach is to display CAPTCHA characters onto 3D objects to improve security. We exploit difficulty for machines in rotating 3D objects to find a correct view point and in further recognizing characters in 3D, both tasks that humans can easily perform. Using an offline automated computer vision attack, we found that 82% of the new text reCAPTCHA characters were successfully detected, while approximately 60% of our 3D CAPTCHAs were detected only if characters were focused and zoomed from the direct view point. When CAPTCHAs are presented in slightly different views, the attack success rates against our approaches are reduced to almost 0%.

KW - 3D

KW - Authentication

KW - CAPTCHA

UR - https://www.scopus.com/pages/publications/85017640775

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DO - 10.1007/978-3-319-56549-1_30

M3 - Conference contribution

AN - SCOPUS:85017640775

SN - 9783319565484

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 353

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BT - Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers

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A2 - Guilley , Sylvain

PB - Springer Verlag

T2 - 17th International Workshop on Information Security Applications, WISA 2016

Y2 - 25 August 2016 through 25 August 2016

ER -

Woo SS, Kim J, Yu D, Kim B. Exploration of 3D texture and projection for new CAPTCHA design. In Choi D, Guilley S, editors, Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers. Springer Verlag. 2017. p. 353-365. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-56549-1_30

Exploration of 3D texture and projection for new CAPTCHA design

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