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This paper is a review on current text based, image-based, audio-base methods of CAPTCHA to make them easier for humans and harder for machines. It highlights the vulnerabilitie s of such systems to sophisticated machine learning attacks. Furthermore the paper explore new ways to improve CAPTCHA security using adversarial machine learning techniques. It also discusses some changes like the game mechanism for fingerguessing, which is one of gamification techniques to improve user interaction and experience as well. This review provides an analysis of these developments to reveal the advantages and limitations different CAPTCHA methodologies as well potential for future advancements, underpinning the need for ongoing innovation in code design that is secure.
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"A Deep Dive into CAPTCHA Mechanisms and Their Evolution", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a644-a649, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502067.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator