CAPTCHA: Attacks and Weaknesses against OCR technology

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Silky Azad
Silky Azad
σ
Kiran Jain
Kiran Jain
α Kurukshetra University

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CAPTCHA: Attacks and Weaknesses against OCR technology

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Abstract

The basic challenge in designing these obfuscating CAPTCHAs is to make them easy enough that users are not dissuaded from attempting a solution, yet still too difficult to solve using available computer vision algorithms. As Modern technology grows this gap however becomes thinner and thinner. It is possible to enhance the security of an existing text CAPTCHA by system-apically adding noise and distortion, and arranging characters more tightly. These measures, however, would also make the characters harder for humans to recognize, resulting in a higher error rates and higher Network load .This paper presents few of most active attacks on text CAPTCHAs existing today.

References

8 Cites in Article
  1. Luis Von,An,Manuel Blum,Nicholas Hopper,John Langford (2003). CAPTCHA: using hard AI problems for security.
  2. Ben Luis Von An,Colin Maurer,David Mcmillan,Manuel Abraham,Blum (2008). Re CAPTCHA: Human-Based Character Recognition via Web Security Measures.
  3. Marti Motoyama,Krill Levchenko,Chris Kanich,Damon Mccoy,Geoffrey Volker,Stefan Savage (2010). Usenix Security Symposium.
  4. Elie Bursztein,Steven Bet Hard,Celine Fabry,John Mitchell,Dan Jurafsky (2010). How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation.
  5. Elie Bursztein,Matthieu Martin,John Mitchell (2011). Text-based CAPTCHA strengths and weaknesses.
  6. Ahmad Salah,El Ahmad,Jeff Yan,Lindsay Marshall (2010). The robustness of a new CAPTCHA.
  7. B Bin,Zhu (2010). Attacks and Design of Image Recognition CAPTCHAs.
  8. Marti Motoyama,Krill (2010). Re: CAPTCHAs: understanding CAPT-CHA solving services in an economic context.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Silky Azad. 2013. \u201cCAPTCHA: Attacks and Weaknesses against OCR technology\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 13 (GJCST Volume 13 Issue D3): .

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Issue Cover
GJCST Volume 13 Issue D3
Pg. 15- 17
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Version of record

v1.2

Issue date

May 31, 2013

Language
en
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The basic challenge in designing these obfuscating CAPTCHAs is to make them easy enough that users are not dissuaded from attempting a solution, yet still too difficult to solve using available computer vision algorithms. As Modern technology grows this gap however becomes thinner and thinner. It is possible to enhance the security of an existing text CAPTCHA by system-apically adding noise and distortion, and arranging characters more tightly. These measures, however, would also make the characters harder for humans to recognize, resulting in a higher error rates and higher Network load .This paper presents few of most active attacks on text CAPTCHAs existing today.

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CAPTCHA: Attacks and Weaknesses against OCR technology

Silky Azad
Silky Azad Kurukshetra University
Kiran Jain
Kiran Jain

Research Journals