View in EDS HTML Full Text PDF Full Text

μcaptcha: Human Interaction Proofs Tailored to Touch-Capable Devices via Math Handwriting.

Saved in:
Bibliographic Details
Title: μcaptcha: Human Interaction Proofs Tailored to Touch-Capable Devices via Math Handwriting.
Authors: Leiva, Luis A. (AUTHOR), Álvaro, Francisco (AUTHOR)
Source: International Journal of Human-Computer Interaction. 2015, Vol. 31 Issue 7, p457-471. 15p. 5 Color Photographs, 4 Black and White Photographs, 1 Diagram, 5 Charts, 3 Graphs.
Subjects: CAPTCHA (Challenge-response test), Human-computer interaction, Writing, Mathematics, Keyboards (Electronics), Touch screens, Online information services, Internet security
Abstract: Online services are often protected with captchas that typically must be solved by typing on a keyboard. Now that smartphones and tablets are increasingly being used to browse the web, new captchas best suited to touch-capable devices should be devised, because entering text on soft keyboards is usually uncomfortable and error-prone. This article contributes to solving this issue with μcaptcha, a novel captcha scheme to tell humans and computers apart by means of math handwriting input. Instead of entering text with a keyboard, the user retypes a mathematical expression on a touch screen using, for example, the finger, a stylus, or an e-pen. Further, as a by-product of solving μcaptcha challenges, a valuable labeled data set of online handwritten math expressions is collected. Studies reveal that μcaptcha is accurate, fast, and easy to perform and that users find it to be both useful and enjoyable. Ultimately, this work informs an understanding of designing better web security measures. [ABSTRACT FROM PUBLISHER]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 103576924
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: μcaptcha: Human Interaction Proofs Tailored to Touch-Capable Devices via Math Handwriting.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Leiva%2C+Luis+A%2E%22">Leiva, Luis A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Álvaro%2C+Francisco%22">Álvaro, Francisco</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. 2015, Vol. 31 Issue 7, p457-471. 15p. 5 Color Photographs, 4 Black and White Photographs, 1 Diagram, 5 Charts, 3 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22CAPTCHA+%28Challenge-response+test%29%22">CAPTCHA (Challenge-response test)</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Writing%22">Writing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Keyboards+%28Electronics%29%22">Keyboards (Electronics)</searchLink><br /><searchLink fieldCode="DE" term="%22Touch+screens%22">Touch screens</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+security%22">Internet security</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Online services are often protected with captchas that typically must be solved by typing on a keyboard. Now that smartphones and tablets are increasingly being used to browse the web, new captchas best suited to touch-capable devices should be devised, because entering text on soft keyboards is usually uncomfortable and error-prone. This article contributes to solving this issue with μcaptcha, a novel captcha scheme to tell humans and computers apart by means of math handwriting input. Instead of entering text with a keyboard, the user retypes a mathematical expression on a touch screen using, for example, the finger, a stylus, or an e-pen. Further, as a by-product of solving μcaptcha challenges, a valuable labeled data set of online handwritten math expressions is collected. Studies reveal that μcaptcha is accurate, fast, and easy to perform and that users find it to be both useful and enjoyable. Ultimately, this work informs an understanding of designing better web security measures. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=103576924
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2015.1038124
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 457
    Subjects:
      – SubjectFull: CAPTCHA (Challenge-response test)
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
      – SubjectFull: Writing
        Type: general
      – SubjectFull: Mathematics
        Type: general
      – SubjectFull: Keyboards (Electronics)
        Type: general
      – SubjectFull: Touch screens
        Type: general
      – SubjectFull: Online information services
        Type: general
      – SubjectFull: Internet security
        Type: general
    Titles:
      – TitleFull: μcaptcha: Human Interaction Proofs Tailored to Touch-Capable Devices via Math Handwriting.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Leiva, Luis A.
      – PersonEntity:
          Name:
            NameFull: Álvaro, Francisco
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 10447318
          Numbering:
            – Type: volume
              Value: 31
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
ResultId 1