Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/1358628.1358917acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Assocaptcha: designing human-friendly secure captchas using word associations

Published: 05 April 2008 Publication History

Abstract

CAPTCHAs are challenge-response tests to verify that the user is a human (and not a program/robot). CAPTCHAs use problems that are trivial for humans to solve, but are hard for computers. Unfortunately, CAPTCHAs have focused only on one aspect of human ability: image/word recognition. This paper explores the usage of other human abilities: particularly, finding associations between related concepts; to design secure, human-friendly Human Interaction Proofs (HIPs)
In this paper, we present AssoCAPTCHA: CAPTCHAs so designed that they require no greater user-interaction than conventional solutions, yet have orders of magnitude greater security. Preliminary tests confirm user acceptance and efficiency of the system.

References

[1]
CAPTCHA Challenge Tradeoffs: Familiarity of Strings versus Degradation of Images. Wang, Sui-Yu and Bentley, Jon L. 2006. 18th International Conference on Pattern Recognition (ICPR'06). pp. 164--167.
[2]
Designing Human Friendly Human Interaction Proofs (HIPs). Portland, OR: s.n., 2005. Proceedings of the CHI.
[3]
Using Machine Learning to Break Human Interaction Proofs. Chellapilla, K and Sinard, P. s.l.: MIT Press, 2004. Advances in Neural Information Processing Systems 17.
[4]
Bethlehem, PA: s.n., 2005. Second Workshop on Human Interactive Proofs.
[5]
The Structure of Associations in Language and Thought. Deese, J. Baltimore: John Hopkins Press, 1965.
[6]
Jung, Carl G. Studies in Word Association. London: Routledge & K. Paul (contained in Experimental Researches, Collected Works Vol. 2), 1907.
[7]
Comparing the L1 and L2 mental lexicon. Wolter, Brent. s.l.: Cambridge University Press, 2001, Studies in Second Language Acquisition.
[8]
Plotkin, H. Darwin Machines and the Nature of Knowledge. London: Penguin, 1994.
[9]
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA. Mori, Greg and Malik, Jitendra. 2003. Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Index Terms

  1. Assocaptcha: designing human-friendly secure captchas using word associations

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems
    April 2008
    2035 pages
    ISBN:9781605580128
    DOI:10.1145/1358628
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 April 2008

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. captcha
    2. human-interaction-proof
    3. visual interfaces
    4. word-association

    Qualifiers

    • Research-article

    Conference

    CHI '08
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

    Upcoming Conference

    CHI '25
    CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 329
      Total Downloads
    • Downloads (Last 12 months)5
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 12 Nov 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media