Relevant bibliographies by topics / Completely automated public Turing test to tell computers and human apart (CAPTCHA)

Contents

  1. Journal articles
  2. Book chapters
  3. Conference papers

Academic literature on the topic 'Completely automated public Turing test to tell computers and human apart (CAPTCHA)'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Completely automated public Turing test to tell computers and human apart (CAPTCHA).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Completely automated public Turing test to tell computers and human apart (CAPTCHA)"

1

Pawar, Prof P. Y. "Completely Automated Captcha Solver." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1728–32. http://dx.doi.org/10.22214/ijraset.2021.36710.

Full text
Abstract:
This project was primarily aimed to create an automated system for solving captcha’s automatically. CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Human Apart) are the Internet’s first line of defence against automated account creation and service abuse. This paper presents unCaptcha, an automates system that can solve Captcha’s most difficult auditory challenges with high success rate using Deep Learning and Natural Language processing. There are four types of Captcha’s Audio Captcha,Text based captcha, Image captcha,Maths-solver captcha.
APA, Harvard, Vancouver, ISO, and other styles
2

Thangavelu, S., and T. Purusothaman. "Security and Usability Issues in Captcha Design." International Journal of Computer Science and Mobile Applications 3, no. 6 (2015): 37–43. http://dx.doi.org/10.47760/ijcsma.2015.v03i06.001.

Full text
Abstract:
Captcha stands for Completely Automated Public Turing test to tell Computers and Humans Apart. Captcha is a challenge response test which determines whether the user on Internet is human or a spam robot. They are also called as Human interactive proof. Captcha is used to prevent the automated attacks by the computer robots. The Captcha test generates a simple task which can be easily solved by humans and hard for bots to complete the task. Thus Captcha prevents the unauthorized entry of bots into the websites and web services.
APA, Harvard, Vancouver, ISO, and other styles
3

Wandapranata, Jessika, and Seng Hansun. "Pengembangan Modul Autentikasi Captcha Berbasis Gambar dengan Algoritma Flood Fill." Journal of Information Systems Engineering and Business Intelligence 3, no. 1 (2017): 1. http://dx.doi.org/10.20473/jisebi.3.1.1-7.

Full text
Abstract:
Abstrak— Captcha merupakan salah satu cara memberikan akses internet yang aman dari serangan bots. Captcha (Completely Automated Public Turing Test To Tell Computers and Humans Apart) merupakan sebuah challenge response test yang digunakan untuk membedakan manusia dan robot (bots). Namun seiring perkembangan waktu, telah berkembang serangan otomatis yang berhasil membobol beberapa jenis Captcha. Oleh karena itu, pada penelitian ini dikembangkan Captcha berbasis gambar dengan metode autentikasi yang berbeda. Autentikasi Captcha dilakukan dengan menerapkan algoritma Flood Fill. Dalam implementas
APA, Harvard, Vancouver, ISO, and other styles
4

Bostik, Ondrej, Karel Horak, and Jan Klecka. "Usability Evaluation of Randomly Generated Fonts for Bubble Captcha." MENDEL 24, no. 1 (2018): 143–50. http://dx.doi.org/10.13164/mendel.2018.1.143.

Full text
Abstract:
A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA), is the wide-spread concept of systems suited to secure the web services from automated SPAM scripts. The most common CAPTCHA systems benefit from imperfections of Optical Character Recognition algorithms. This paper presents our ongoing work focused on the development of a new CAPTCHA scheme based on a human perception. The goal of this work is to evaluate the usability of randomly generated fonts used in Bubble Captcha scheme with both humans and OCR classifiers.
APA, Harvard, Vancouver, ISO, and other styles
5

Todorov, Todor, Galina Bogdanova, and Nikolay Noev. "Accessibility Challenges with CAPTCHA Services in Digital Libraries." Digital Presentation and Preservation of Cultural and Scientific Heritage 12 (September 7, 2022): 255–62. http://dx.doi.org/10.55630/dipp.2022.12.23.

Full text
Abstract:
In the paper are discussed security problems related to online digital libraries and portals. Special attention is placed to one the methods to distinguish usage of online digital libraries from non-human users. The approaches known under the abbreviation CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) are considered in the context of their accessibility to the users with different types of disabilities.
APA, Harvard, Vancouver, ISO, and other styles
6

Shivam Sehgal and Vandana Choudhary. "OCR Captcha Alternative for Visually Impaired Users." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 240–47. http://dx.doi.org/10.46501/ijmtst061244.

Full text
Abstract:
The internet has been playing an increasingly important role in our daily life, with the availability of many web services such as email and search engines. However, these are often threatened by attacks from computer programs such as bots. To address this problem, CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) was developed to distinguish between computer programs and human users. Although this mechanism offers good security and limits automatic registration to web services, but many CAPTCHAs are not user friendly and sometimes can pose some challenge to
APA, Harvard, Vancouver, ISO, and other styles
7

Jusin, Jusin, Wilbert Harriman, and Robin Robin. "End-To-End Neural Network Based Captcha Recognition." Journal Information System Development (ISD) 7, no. 2 (2022): 28. http://dx.doi.org/10.19166/isd.v7i2.552.

Full text
Abstract:
Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is widely used as a security measure against spam and bot attacks via the Internet. CAPTCHA works by the assumption that it takes human sensory and cognitive skills (that are not present in computers) to successfully identify objects or letters within a noisy graphical environment. In this work, we propose a way to teach machines to recognize CAPTCHAs with deep learning. Our deep learning model uses a Convolutional Neural Network (CNN) encoder to convert CAPTCHA images into vector representations, followed by
APA, Harvard, Vancouver, ISO, and other styles
8

Bostik, Ondrej, Karel Horak, and Jan Klecka. "Bubble Captcha - A Start of the New Direction of Text Captcha Scheme Development." MENDEL 23, no. 1 (2017): 57–64. http://dx.doi.org/10.13164/mendel.2017.1.057.

Full text
Abstract:
CAPTCHA, A Completely Automated Public Turing test to tell Computers and Humans Apart, iswell-known system widely used in all sorts of internet services around the world designated to secure the webfrom an automatic malicious activity. For almost two decades almost every system utilize a simple approach tothis problem containing a transcription of distorted letters from image to a text eld. The ground idea is to useimperfection of Optical Character Recognition algorithms against the computers. The development of OpticalCharacter recognition algorithms leads only to state, where the CAPTCHA sch
APA, Harvard, Vancouver, ISO, and other styles
9

Sushma, Yalamanchili, and Rao Kameswara. "A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA." International Journal of Advanced Information Technology (IJAIT) 1, no. 4 (2011): 47–57. https://doi.org/10.5281/zenodo.3366494.

Full text
Abstract:
Human Interactive Proofs (HIPs) are automatic reverse Turing tests designed to distinguish between various groups of users. Completely Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a HIP system that distinguish between humans and malicious computer programs. Many CAPTCHAs have been proposed in the literature that text-graphical based, audio-based, puzzle-based and mathematical questions-based. The design and implementation of CAPTCHAs fall in the realm of Artificial Intelligence. We aim to utilize CAPTCHAs as a tool to improve the security of Internet based appli
APA, Harvard, Vancouver, ISO, and other styles
10

Saurabh Chauhan and Shreya Kapoor. "Sliding Puzzle CAPTCHA Analysis." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 165–70. http://dx.doi.org/10.46501/ijmtst061232.

Full text
Abstract:
Today a number of everyday activities are done through the Internet. To perform such web services users must register in relation to websites or fill some form. In such websites, some hackers write malicious programs called bots that destroy website resources by creating fake registrations or form submissions. This false registration may adversely affect the performance of websites. Therefore, it is necessary to distinguish between actual human users and Web bots (or computer programs) via tests known as CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart). Most
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Completely automated public Turing test to tell computers and human apart (CAPTCHA)"

1

Malhotra, Dipika, and Satinder Kaur. "Recognition Of CAPTCHA Characters Using Machine Learning Algorithms." In Artificial Intelligence and Communication Technologies. Soft Computing Research Society, 2022. http://dx.doi.org/10.52458/978-81-955020-5-9-10.

Full text
Abstract:
The Completely Automated Public Turing Test to Tell Computers and Humans Apart (CAPTCHA) is a test used in many online applications to safeguard the authentication process by distinguishing humans from bots. Recognition of characters is incorporated with the help of the CAPTCHA method to make web applications safe and trustworthy. CAPTCHA incorporates some complicated pictures in some cases and owing to noisy values, it might be difficult to distinguish the characters from these images. Using machine-learning approaches, several researchers have attempted to overcome this challenge. As a result, the focus of this work is on a comparison of classification algorithms such as k-NN, SVM, and CNN for recognising CAPTCHA characters in the literature. After a careful review of the past work, it has been determined that CNN, rather than k-NN or SVM, is the most accurate strategy in terms of classification accuracy. In the future, CNN might be used to improve the process of character recognition.
APA, Harvard, Vancouver, ISO, and other styles
2

Malhotra, Dipika, and Satinder Kaur. "Recognition Of CAPTCHA Characters Using Machine Learning Algorithms." In Artificial Intelligence and Communication Technologies. Soft Computing Research Society, 2022. http://dx.doi.org/10.52458/978-81-955020-5-9-10.

Full text
Abstract:
The Completely Automated Public Turing Test to Tell Computers and Humans Apart (CAPTCHA) is a test used in many online applications to safeguard the authentication process by distinguishing humans from bots. Recognition of characters is incorporated with the help of the CAPTCHA method to make web applications safe and trustworthy. CAPTCHA incorporates some complicated pictures in some cases and owing to noisy values, it might be difficult to distinguish the characters from these images. Using machine-learning approaches, several researchers have attempted to overcome this challenge. As a result, the focus of this work is on a comparison of classification algorithms such as k-NN, SVM, and CNN for recognising CAPTCHA characters in the literature. After a careful review of the past work, it has been determined that CNN, rather than k-NN or SVM, is the most accurate strategy in terms of classification accuracy. In the future, CNN might be used to improve the process of character recognition.
APA, Harvard, Vancouver, ISO, and other styles
3

Swaid, Samar I. "Usability of CAPTCHA in Online Communities and Its Link to User Satisfaction." In Advances in Computer and Electrical Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7598-6.ch134.

Full text
Abstract:
Completely automated public turning test to tell computers and humans apart (CAPTCHA) is a security mechanism that is used by online communities to block spam and hacking. Today, there are a large number of sophisticated CAPTCHAs that are robust; however, most of them are unusable. This chapter describes a study to examine types and characteristics of Text CAPTCHAs used by top 50 online communities. Furthermore, the chapter is the first of its type to develop a scale to measure usability of text CAPTCHA and to examine the relationships between dimensions of CAPTCHA and perception of usability and satisfaction with registration process in online communities. Factor analysis and equation modeling study suggests that text-based CAPTCHA can be measured on four reflective dimensions of (1) content, (2) visual layout, (3) distortion, and (4) service in which correlate significantly to users' sanctification with online community.
APA, Harvard, Vancouver, ISO, and other styles
4

Swaid, Samar I. "Usability of CAPTCHA in Online Communities and Its Link to User Satisfaction." In Encyclopedia of Information Science and Technology, Fourth Edition. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch702.

Full text
Abstract:
Completely Automated Public Turning Test to Tell Computers and Humans Apart (CAPTCHA) is a security mechanism that is used by online communities to block spam and hacking. Today, there are a large number of sophisticated CAPTCHAs that are robust, however, most of them are unusable. This chapter describes a study to examine types and characteristics of Text CAPTCHAs used by top 50 online communities. Furthermore, the study the first of its type to develop a scale to measure usability of text CAPTCHA and to examine the relationships between dimensions of CAPTCHA and perception of usability and satisfaction with registration process in online communities. Factor analysis and equation modeling study suggests that text-based CAPTCHA can be measured on four reflective dimensions of: (1) content; (2) visual layout; (3) distortion; and (4) service in which correlate significantly to users' sanctification with online community.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Completely automated public Turing test to tell computers and human apart (CAPTCHA)"

1

Gafni, Ruti, and Idan Nagar. "CAPTCHA – Security affecting User Experience." In InSITE 2016: Informing Science + IT Education Conferences: Lithuania. Informing Science Institute, 2016. http://dx.doi.org/10.28945/3469.

Full text
Abstract:
[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] CAPTCHA - Completely Automated Public Turing test to tell Computers and Humans Apart - is a test with the aim to distinguish between malicious automatic software and real users in the era of Cyber security threats. Various types of CAPTCHA tests were developed, in order to address accessibility while implementing security. This research focuses on the users’ attitudes and experiences related to use of the different kinds of tests. A questionnaire accompanied by experiencing five
APA, Harvard, Vancouver, ISO, and other styles
2

Hanley, Daniel, Jeff King, and André dos Santos. "Defeating Malicious Terminals in an Electronic Voting System." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2005. http://dx.doi.org/10.5753/sbseg.2005.21527.

Full text
Abstract:
The advent of electronic voting gives rise to a new threat: Adversaries may execute undetectable, automated attacks against the system. Elections are often secured through complex policies, which may be difficult to enforce; Completely Automated Public Turing Tests to Tell Computers and Humans Apart (CAPTCHAs) provide an inexpensive alternative. The goal of this study is to introduce a unique application of CAPTCHAs that allows a human to transmit a message securely across an untrusted medium, and this has direct implications in the domain of electronic voting. We assume that the voter is equi
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Completely automated public Turing test to tell computers and human apart (CAPTCHA)' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography