• DocumentCode
    1285886
  • Title

    CAPTCHA Security: A Case Study

  • Author

    Yan, Jeff ; El Ahmad, Ahmad Salah

  • Author_Institution
    Newcastle Univ., Newcastle upon Tyne, UK
  • Volume
    7
  • Issue
    4
  • fYear
    2009
  • Firstpage
    22
  • Lastpage
    28
  • Abstract
    A simple but novel attack can break some CAPTCHAs with a success rate higher than 90 percent. In contrast to early work that relied on sophisticated computer vision or machine learning techniques, the authors used simple pattern recognition algorithms to exploit fatal design errors.
  • Keywords
    pattern recognition; security of data; CAPTCHA security; computer vision; fatal design error; machine learning techniques; pattern recognition algorithm; Computer vision; Humans; Image converters; Optical character recognition software; Pattern recognition; Pixel; Security; Shearing; Text analysis; Web services; CAPTCHA; dictionary attacks; pixel count; security;
  • fLanguage
    English
  • Journal_Title
    Security & Privacy, IEEE
  • Publisher
    ieee
  • ISSN
    1540-7993
  • Type

    jour

  • DOI
    10.1109/MSP.2009.84
  • Filename
    5189558
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1285886