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Making CAPTCHAs clickable

Published: 25 February 2008 Publication History

Abstract

We show how to convert regular keyboard-entry CAPTCHAs into clickable CAPTCHAs. The goal of this conversion is to simplify and speed-up the entry of the CAPTCHA solution, to minimize user frustration and permit the use of CAPTCHAs on devices where they would otherwise be unsuitable. We propose a technique for producing secure clickable CAPTCHAs that are well suited for use on cell phones and other mobile devices. We support the practical viability of our approach by results from a user study, and an analysis of its security guarantees.

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Click Fraud, the dark side of online advertising. BusinessWeek, October 2006. http://www.businessweek.com/magazine/content/06_40/b4003001.htm
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J. Elson, J. Douceur, J. Howell and J. Saul. Asirra: a CAPTCHA that exploits interest-aligned manual image categorization. In Proc. of ACM CCS 2007, pp. 366--374. http://research.microsoft.com/asirra/
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Cited By

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  • (2022)Human-artificial intelligence approaches for secure analysis in CAPTCHA codesEURASIP Journal on Information Security10.1186/s13635-022-00134-92022:1Online publication date: 12-Dec-2022
  • (2021)Gotta CAPTCHA ’Em All: A Survey of 20 Years of the Human-or-computer DilemmaACM Computing Surveys10.1145/347714254:9(1-33)Online publication date: 8-Oct-2021
  • (2021)A Systematic Survey on CAPTCHA Recognition: Types, Creation and Breaking TechniquesArchives of Computational Methods in Engineering10.1007/s11831-021-09608-429:2(1107-1136)Online publication date: 14-Jun-2021
  • Show More Cited By

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Published In

cover image ACM Conferences
HotMobile '08: Proceedings of the 9th workshop on Mobile computing systems and applications
February 2008
106 pages
ISBN:9781605581187
DOI:10.1145/1411759
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2008

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Author Tags

  1. CAPTCHA
  2. mobile devices
  3. reverse Turing test
  4. usability

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HotMobile08
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HotMobile08: Workshop on Mobile Computing Systems and Applications
February 25 - 26, 2008
California, Napa Valley

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Overall Acceptance Rate 96 of 345 submissions, 28%

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Cited By

View all
  • (2022)Human-artificial intelligence approaches for secure analysis in CAPTCHA codesEURASIP Journal on Information Security10.1186/s13635-022-00134-92022:1Online publication date: 12-Dec-2022
  • (2021)Gotta CAPTCHA ’Em All: A Survey of 20 Years of the Human-or-computer DilemmaACM Computing Surveys10.1145/347714254:9(1-33)Online publication date: 8-Oct-2021
  • (2021)A Systematic Survey on CAPTCHA Recognition: Types, Creation and Breaking TechniquesArchives of Computational Methods in Engineering10.1007/s11831-021-09608-429:2(1107-1136)Online publication date: 14-Jun-2021
  • (2020)A Generic Solver Combining Unsupervised Learning and Representation Learning for Breaking Text-Based CaptchasProceedings of The Web Conference 202010.1145/3366423.3380166(860-871)Online publication date: 20-Apr-2020
  • (2020)A Security Analysis of Captchas with Large Character SetsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2020.2971477(1-1)Online publication date: 2020
  • (2020)Secure Captchas via Object Segment CollagesIEEE Access10.1109/ACCESS.2020.29892588(84230-84238)Online publication date: 2020
  • (2020)Segmentation-Validation based Handwritten Arabic CAPTCHA GenerationComputers & Security10.1016/j.cose.2020.101829(101829)Online publication date: May-2020
  • (2019)A Survey of Research on CAPTCHA Designing and Breaking Techniques2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)10.1109/TrustCom/BigDataSE.2019.00020(75-84)Online publication date: Aug-2019
  • (2018)DEVELOPMENT OF A PREDICTIVE MODEL FOR THE DETECTION OF CAPTCHA SMUGGLING ATTACKS USING SUPERVISED DEEP LEARNING BASED APPROACHi-manager's Journal on Computer Science10.26634/jcom.6.3.156996:3(42)Online publication date: 2018
  • (2018)Yet Another Text Captcha SolverProceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security10.1145/3243734.3243754(332-348)Online publication date: 15-Oct-2018
  • Show More Cited By

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