UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 1 Issue 3
August-2014
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1403005


Registration ID:
140177

Page Number

187-193

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Title

A Survey on Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA)

Abstract

Nowadays, many services in the internet including Email, search engine, social networking are provided with free of charge due to enormous growth of web users. With the expansion of Web services, denial of service (DoS) attacks by malicious automated programs (e.g., web bots) is becoming a serious problem of web service accounts. A HIP, or Human Interactive Proofs, is a human authentication mechanism that generates and grades tests to determine whether the user is a human or a malicious computer program. Unfortunately, the existing HIPs tried to maximize the difficulty for automated programs to pass tests by increasing distortion or noise. Consequently, it has also become difficult for potential users too. So there is a tradeoff between the usability and robustness in designing HIP tests. In our propose technique we tried to balance the readability and security by adding contextual information in the form of natural conversation without reducing the distortion and noise. In the result section, a microscopic large-scale user study was conducted involving 110 users to investigate the actual user views compare to existing state of the art CAPTCHA systems like Google’s re-CAPTCHA and Microsoft’s CAPTCHA in terms of usability and security and found our system capable of deploying largely over internet.

Key Words

CAPTCHA; HIPs; Usability ; OCR; Web Services; Context; Cognitive Psychology; Conversation

Cite This Article

"A Survey on Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 3, page no.187-193, August-2014, Available :http://www.jetir.org/papers/JETIR1403005.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Survey on Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 3, page no. pp187-193, August-2014, Available at : http://www.jetir.org/papers/JETIR1403005.pdf

Publication Details

Published Paper ID: JETIR1403005
Registration ID: 140177
Published In: Volume 1 | Issue 3 | Year August-2014
DOI (Digital Object Identifier):
Page No: 187-193
Country: Kaiserslautern, Rheinlandpfalz, Germany .
Area: Computer Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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