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Journal articles 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

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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.

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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.

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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.

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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.

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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.

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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

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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.

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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.

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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.

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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.

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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Sathe, Ruchitha, Sangamithra Nalam, Bhoomika Dharavath, and Divya S. "Returing Image-The Captcha Initiator." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3009–13. http://dx.doi.org/10.22214/ijraset.2023.50794.

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Abstract: The CAPTCHA is used to provide the security against the malicious software by generating a test which only a human can complete. The CAPTCHA stands for Completely Automated Public Turing test to tell computer and human apart. Currently, we are using CAPTCHA are image and text-based data. The reusable CAPTCHA security engine will provide a better way to generating the data for CAPTCHA and will increase the difficulty in bypassing the system by use of improved algorithm. CAPTCHAs are designed to prevent bots – programs that pose as humans on the Internet – from abusing internet service

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Hasan, Walid, Thani Alquncul, and Faraj Saad. "CAPTCHA Based on The Form of Letters." مجلة الجامعة الأسمرية: العلوم التطبيقية 3, no. 1 (2018): 15–30. http://dx.doi.org/10.59743/aujas.v3i1.1577.

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The internet has been playing an increasingly influential role in human daily life, with the availability of many web services such as email, search engines and social media such as Facebook, Twitter, and Snapchat. However, these are often threatened by attacks from computer programs such as bots. To address this issue, CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) was developed to distinguish between computer programs and human users. One of simplest CAPTCHA is Text CAPTCHA where characters with some noise are presented to the user to type these characte

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Kim, Jungkeun, Suh-Young Irene Park, and Jihoon Jhang. "The Effect of CAPTCHA Exposure on Traveler's Online Behaviors." Journal of Smart Tourism 2, no. 4 (2022): 5–10. https://doi.org/10.52255/smarttourism.2022.2.4.2.

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CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is everywhere. This research explores whether and how travelers’ upfront exposure to a CAPTCHA influences their subsequent behaviors. In the travel decision-making context, we investigated the relationship between CAPTCHA and travelers’ hotel preferences and intent to use cryptocurrency during the trip. In two experimental studies, we found that travelers exposed to a CAPTCHA (vs. not) preferred a robot-staffed to a human-staffed hotel (Study 1) and a pro-environmental to a quality hotel (Study 2). Exposure to

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Umar, Mohammad. "A Review on Evolution of various CAPTCHA in the field of Web Security." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 72–78. http://dx.doi.org/10.22214/ijraset.2022.40190.

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Abstract: CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) which is a security challenge through which human and bots intervention can be measured. It is a type of turing test through which programmed intervention can be detected by it behavior or solving the problem. There are various CAPTCHA problems available such as distorted string, picture recognition, audio, math and gaming CAPTCHA. Game based problem is interactive and highly secured as compare to the other CAPTCHA. In this kind of CAPTCHA user has to solve an AI problem either by drag & drop met

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O., Igbekele Emmanuel, Adebiyi Ayodele A., Ibikunle Francis A., Adebiyi Marion O., and Olugbara O. Oludayo. "Research trends on CAPTCHA: A systematic literature." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4300. http://dx.doi.org/10.11591/ijece.v11i5.pp4300-4312.

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The advent of technology has crept into virtually all sectors and this has culminated in automated processes making use of the Internet in executing various tasks and actions. Web services have now become the trend when it comes to providing solutions to mundane tasks. However, this development comes with the bottleneck of authenticity and intent of users. Providers of these Web services, whether as a platform, as a software or as an Infrastructure use various human interaction proof’s (HIPs) to validate authenticity and intent of its users. Completely automated public turing test to tell comp

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Igbekele, Emmanuel O., Ayodele A. Adebiyi, Francis A. Ibikunle, Marion O. Adebiyi, and O. Oludayo Olugbara. "Research trends on CAPTCHA: A systematic literature." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (2021): 4300–4312. https://doi.org/10.11591/ijece.v11i5.pp4300-4312.

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The advent of technology has crept into virtually all sectors and this has culminated in automated processes making use of the Internet in executing various tasks and actions. Web services have now become the trend when it comes to providing solutions to mundane tasks. However, this development comes with the bottleneck of authenticity and intent of users. Providers of these Web services, whether as a platform, as a software or as an Infrastructure use various human interaction proof’s (HIPs) to validate authenticity and intent of its users. Completely automated public turing test to tel

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Dr., R. Rajesh. "A Gamming of CaptchaThe Confrontation Against Captcha with Implementation of the Random Dice with RSA." International Journal of Innovative Science and Research Technology 8, no. 2 (2023): 626–30. https://doi.org/10.5281/zenodo.7668474.

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In the web there has been a play of undeniably significant jobs in our day to day life, with the openness of many web admins, likewise, web creeps and e-mail. In any case, these are frequently imperiled by assaults from PC AIBots Programs. To handle these type of issues, CAPTCHA [Completely Automated Public Turing Test to Tell Computers and Humans Apart] was created to recognize Client AI- Bots projects and human users. In spite of the fact that these frame work offers great security and cutoff programs enrolled to the web admins and some CAPTCHA’s have a very few shortcomings which will

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Neha, Pradyumna Bora and Dr. Dinesh Chandra Jain. "CAPTCHA Designing techniques and development of CAPTCHA System based on B3AC Algorithm." Scandinavian Journal of Information Systems 35, no. 1 (2023): 707–15. https://doi.org/10.5281/zenodo.7795505.

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Our everyday life now heavily relies on the internet and online security. Most businesses provide their customers internet services. Yet, malicious automated hacking software occasionally attempts to target websites to slow the server. Users must provide their personal information on sign-in or sign-up forms during online registration or booking in order to access and use relevant website functionalities. Only the actual user, who is a human, is expected to register. However, automated hacking programs can also do bandwidth-intensive registrations that slow down or occasionally even shut down

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Mohinder Kumar, Sanjeev Kumar. "Devanagari CAPTCHA: For the Security in Web." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 292–310. http://dx.doi.org/10.52783/tjjpt.v44.i4.837.

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Completely Automated Public Turing Test to Tell Computers and Humans Apart or CAPTCHA is a solution for cyber-attack. CAPTCHA is a small challenge that an internet user has to pass before accessing any online service. The most common type of CAPTCHA is text-based CAPTCHA, in which a small image (contains a random number of alphabets) is presented before the user. The user has to identify and then type the alphabet in a text box. The textual information in the CAPTCHA must not be identified by a bot (computer code). So, artificial noise and distortion are applied in the image. Earlier text-base

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Murugan, R., Tejasri P, Nobesh Reddy, and G. Dinesh. "Web security through improvised image based CAPTCHA." International Journal of Engineering & Technology 7, no. 1.1 (2017): 256. http://dx.doi.org/10.14419/ijet.v7i1.1.9481.

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CAPTCHA is a Completely Automated Public Turing Test to tell Computers and Humans Apart [1]. Whenever a website is hosted onto a server it is not human that always tries to access the website. Sometimes a human generated computer bot also known as Zombie may try to access the website. In such situations bots need to be filtered from legitimate users and this can be accomplished by using a simple method called CAPTCHA. Initially CAPTCHA was developed on text-based platform later it was evolved to audio, image etc. In this paper a new technique to differentiate bots from humans is introduced. It

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Trong, Nghia Dinh, Thien Ho Huong, and Vinh Truong Hoang. "New Cognitive Deep-Learning CAPTCHA." Sensors 23, no. 4 (2023): 2338. http://dx.doi.org/10.3390/s23042338.

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CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), or HIP (Human Interactive Proof), has long been utilized to avoid bots manipulating web services. Over the years, various CAPTCHAs have been presented, primarily to enhance security and usability against new bots and cybercriminals carrying out destructive actions. Nevertheless, automated attacks supported by ML (Machine Learning), CNN (Convolutional Neural Network), and DNN (Deep Neural Network) have successfully broken all common conventional schemes, including text- and image-based CAPTCHAs. CNN/DNN have r

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Tang, Shengyuan. "Research on CAPTCHA recognition technology based on deep learning." Applied and Computational Engineering 81, no. 1 (2024): 41–46. http://dx.doi.org/10.54254/2755-2721/81/20240967.

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Abstract. CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), a security technique widely used on the Internet, can be utilized to distinguish human users from automated programs. The rapid development of deep learning technology has led to the emergence of graph-based recognition techniques that demonstrate excellent performance, which has prompted the investigation of CAPTCHA recognition based on deep learning as a research area of significant interest. This paper addresses the challenging problem of CAPTCHA recognition based on deep learning techniques, rev

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Dubey, Apoorva, and Meenakshi Patel. "A Review on Various Implemented CAPTCHA in the Field of Web Security." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 90–96. http://dx.doi.org/10.22214/ijraset.2022.41167.

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Abstract: CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a process of identifying whether user is human or robot. It is very important to know the user end because security can be breach. There are different CAPTCHA problems accessible like twisted string, image recognition, math and gaming CAPTCHA. Game based problem is intuitive and profoundly got as contrast with the other CAPTCHA. In this sort of CAPTCHA client needs to tackle an AI problem either by drag and drop technique or click based, contingent upon the game. The paper is expected to audit dif

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Sakhare, Sachin R., and Vivek D. Patil. "Implementation of Captcha Mechanisms using Deep Learning to Prevent Automated Bot Attacks." Research Journal of Computer Systems and Engineering 4, no. 2 (2023): 01–15. http://dx.doi.org/10.52710/rjcse.70.

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Online platforms' integrity and security are seriously threatened by the growth of automated bot attacks, necessitating the development of effective methods for telling harmful bots apart from legitimate users. In order to successfully combat automated bot attacks, this project investigates the creation and application of CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) methods utilising deep learning techniques. In this study, we employ deep learning to create and apply complex CAPTCHA-problems that help us distinguish between real users and automated bots.

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Fortunati, Leopoldina, Anna Maria Manganelli, Filippo Cavallo, and Furio Honsell. "You need to show that you are not a robot." New Media & Society 21, no. 8 (2019): 1859–76. http://dx.doi.org/10.1177/1461444819831971.

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Given that today 60% of Internet traffic is generated by bots, ‘CAPTCHA’ (Completely Automated Public Turing Test to tell Computers and Humans Apart) tests that are supposedly impossible to be done by robots have been introduced. What are the cognitive and emotional effects of these tests on Internet users? Does this request to demonstrate they are not a robot affect users’ identity as human beings? To answer these questions, we selected two groups (117 and 116 respondents, respectively). An online questionnaire that differed only in the task was proposed: we asked the first group to complete

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O. T., Olanrewaju, Omilabu A. A., Nwufoh C. V., Adewale F. O., and Osunade O. "An Accented Character-based Captcha System with Usability Test Using Solving Time and Response Time." International Journal of Information Technology and Computer Science 17, no. 1 (2025): 96–104. https://doi.org/10.5815/ijitcs.2025.01.07.

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CAPTCHA is an acronym for Completely Automated Public Turing test to tell Human and Computer Apart. The main purpose of CAPTCHA is to differentiate between human and automated machine during online transaction. Text, image, audio and video are types of CAPTCHAs. However, text-based CAPTCHAs are available in the market in different languages i.e., English, Arabic, Urdu and Chinese but accented character-based text CAPTCHA system namely NAIJACAPTCHA is a newly introduce text-based CAPTCHA developed using Latin characters and accented characters from two Nigerian language: Yorùbá and Igbo. The us

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Humaira, Fitrah Maharani, Tengku Musri, Sarimuddin Sarimuddin, Dwi Samsuifin Alham, and Aurista Miftahatul Ilmah. "Analisis Robustness Teks Captcha Paypal HIP Menggunakan Template Matching." JOURNAL OF APPLIED INFORMATICS AND COMPUTING 2, no. 2 (2018): 29–33. http://dx.doi.org/10.30871/jaic.v2i2.1039.

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CAPTCHA refer to Completely Automated Public Turing test to tell Computers and Humans Apart. CAPTCHA are used to ensure that the operators are human not robots. The basic idea of using CAPTCHA is segmentation and recognition. Random characters, graphic images, or CAPTCHA audio become possible solutions to improve security and resilience for protection systems. In this paper used CAPTCHA random characters. However the CAPTCHA text needs to be analyzed again whether it is still solved by the computer or not it needs to be analyzed, improved, and developed to avoid automatic interference. Data se

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Dankwa, Stephen, and Lu Yang. "An Efficient and Accurate Depth-Wise Separable Convolutional Neural Network for Cybersecurity Vulnerability Assessment Based on CAPTCHA Breaking." Electronics 10, no. 4 (2021): 480. http://dx.doi.org/10.3390/electronics10040480.

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Cybersecurity practitioners generate a Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHAs) as a form of security mechanism in website applications, in order to differentiate between human end-users and machine bots. They tend to use standard security to implement CAPTCHAs in order to prevent hackers from writing malicious automated programs to make false website registrations and to restrict them from stealing end-users’ private information. Among the categories of CAPTCHAs, the text-based CAPTCHA is the most widely used. However, with the evolution of deep le

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Tae-Cheon, Yang, Furkan Ince Ibrahim, and Batu Salman Yucel. "A Korean CAPTCHA Study: Defeating OCRs In a New CAPTCHA Context By Using Korean Syllables." International Journal of Contents (IJOC) 5, no. 3 (2009): 50–56. https://doi.org/10.5392/IJoC.2009.5.3.050.

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Internet is being used for several activities by a great range of users. These activities include communication, e-commerce, education, and entertainment. Users are required to register regarding website in order to enroll web activities. However, registration can be done by automated hacking software. That software make false enrollments which occupy the resources of the website by reducing the performance and efficiency of servers, even stop the entire web service. It is crucial for the websites to have a system which has the capability of differing human users and computer programs in readi

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Guerar, Meriem, Luca Verderame, Mauro Migliardi, Francesco Palmieri, and Alessio Merlo. "Gotta CAPTCHA ’Em All: A Survey of 20 Years of the Human-or-computer Dilemma." ACM Computing Surveys 54, no. 9 (2022): 1–33. http://dx.doi.org/10.1145/3477142.

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A recent study has found that malicious bots generated nearly a quarter of overall website traffic in 2019 [102]. These malicious bots perform activities such as price and content scraping, account creation and takeover, credit card fraud, denial of service, and so on. Thus, they represent a serious threat to all businesses in general, but are especially troublesome for e-commerce, travel, and financial services. One of the most common defense mechanisms against bots abusing online services is the introduction of Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTC

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Challagundla, Bhavith Chandra. "Efficient CAPTCHA Image Recognition Using Convolutional Neural Networks and Long Short-Term Memory Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29450.

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This research paper presents a novel approach to CAPTCHA image recognition using a hybrid deep learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs). CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) systems are widely employed to differentiate between human users and bots in online applications, ensuring security and preventing automated attacks. The purpose of this study is to develop an efficient and accurate CAPTCHA recognition system capable of handling complex and distorted CAPTCHA images commonly used

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Kumar, Mohinder, Manish Kumar Jindal, and Munish Kumar. "A Novel Attack on Monochrome and Greyscale Devanagari CAPTCHAs." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 4 (2021): 1–30. http://dx.doi.org/10.1145/3439798.

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The use of computer programs in breaching web site security is common today. CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) and human interaction proofs are the cost-effective solution to these kinds of computer attacks on web sites. These CAPTCHAs are available in many forms, such as those based on text, images and audio. A CAPTCHA must be secure enough that it cannot be broken by a computer program, and it must be usable enough that humans can easily understand it. The most popular is the text-based scheme. Most text-based CAPTCHAs are based on the Engli

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Poonam, Yadav1 and Sujata2. "Security Issues in Cloud Computing Solution of DDOS and Introducing Two-Tier CAPTCHA." International Journal on Cloud Computing: Services and Architecture (IJCCSA) 3, June (2018): 01–16. https://doi.org/10.5281/zenodo.1434181.

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Cloud computing is simply a metaphor for the internet. User does not required knowledge, control, and ownership in the computer infrastructure. User simply access or rent the software and paying only for what they use. Advantage of cloud computing is huge like Broad network access, Cost effectiveness, Rapid elasticity, Measured services, On-Demand service, Resource pooling, Location independence, Reliability, Energy saving and so on. But its global phenomenon that everything in this world has advantage as well as disadvantage, cloud computing also suffering from some drawback like security &am

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Shirali-Shahreza, Mohammad, and Mohammad Shirali-Shahreza. "Persian/Arabic Baffletext CAPTCHA." JUCS - Journal of Universal Computer Science 12, no. (12) (2006): 1783–96. https://doi.org/10.3217/jucs-012-12-1783.

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Nowadays, many daily human activities such as education, trade, talks, etc are done by using the Internet. In such things as registration on Internet web sites, hackers write programs to make automatic false registration that waste the resources of the web sites while it may also stop it from functioning. Therefore, human users should be distinguished from computer programs. To this end, this paper presents a method for distinction of Persian and Arabic-language users from computer programs based on Persian and Arabic texts. Our proposed algorithm is based on adding a background to the image o

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Vivek Tammineedi, Venkata Satya, and V. N. Rajavarman. "A Novel Analysis of Advanced Visual Cryptography Techniques for Providing Security Against Web Attacks Using Support Vector Machine Technique." Journal of Computational and Theoretical Nanoscience 17, no. 5 (2020): 2097–114. http://dx.doi.org/10.1166/jctn.2020.8855.

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In today’s internet applications such as some real time application services like core banking and other public service oriented application have been major issue in authentication of user specification. To perform online dictionary attacks, passwords have been used for security and authentication mechanism. Present days, hacking of databases on web oriented applications is unavoidable to access them easily. Data maintenance is a complex task in internet applications. To solve these type of problems in internet applications, in this paper, we proposed a novel Integrated and Dynamic CAPTCHA (Co

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Chen, Yang, and Yi Chun Zhang. "More Human Participation Chinese Character CAPTCHA: Generating Strong Text-Based CAPTCHA Based on Adding More Human Participation." Applied Mechanics and Materials 263-266 (December 2012): 3041–46. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.3041.

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Many websites use CAPTCHAs ("Completely Automated Public Turing tests to tell Computers and Humans Apart") in an attempt to block automated interactions with their sites. However, widely deployed schemes can be broken with simple but novel attacks. As safety problem has always been very important, in order to meet safety requirements, we through reading many related articles and finding the existing problem of the CAPTCHA. To solve these problems, we developed a new chinese character scheme adding more human participation. This new scheme can increase the robustness of CAPTCHA and effectively

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Singh, Utkarsh, Vikrant Bharti, Yash Raj, et al. "Automatic Captcha Recognition Technology Based on AI." International Journal of Innovative Research in Advanced Engineering 11, no. 12 (2024): 834–41. https://doi.org/10.26562/ijirae.2024.v1112.01.

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Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is doing an phenomenal critical object for safeguarding online systems from automated bots and ensuring user authentication. With advancements in Artificial Intelligence (AI), captcha recognition technology has undergone significant transformation, allowing automated systems to decipher even highly complex captcha formats with remarkable accuracy. This paper dives onto application of AI methodologies, with addition of Convolutional Neural Networks (CNNs) for effective captcha solving. Through the use of variou

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Vaidehi, Kher*1 Mayank Yadav2 Shivashish Naramdeo3 Varun Deolase4 &. Sarthak Gupta5. "BREAKING CAPTCHA USING ARTIFICIAL INTELLIGENCE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 342–45. https://doi.org/10.5281/zenodo.892060.

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The science of making computers humanly to an extent in which it is capable of decision making on its own, visual cognizance, speech recognition, etc. is artificial intelligence. In a very less time span, this field has impacted several sectors of life such as medical, engineering, business, forecasting, etc. "Completely Automated Public Turing Test to Tell Computers and Humans Apart" acronyms to CAPTCHA is a test to differentiate humans from normal robots. A robot is not capable of cracking a CAPTCHA. In this paper we are focusing on how an artificial intelligence robot can solve a CAPTCHA. I

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Sahith, Aitha, P. Swethan, and Balle Naresh. "Four-Character Captcha Recognition using Deep Learning Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 713–17. http://dx.doi.org/10.22214/ijraset.2022.47981.

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bstract: The Completely Automated Public Turing Test to Tell Computers and Humans Apart (CAPTCHA) is a crucial humanmachine distinguishing technique for websites to fend against automated attacks from malicious software. Studies on CAPTCHA recognition have the potential to uncover security flaws, improve CAPTCHA technology, and even advance handwriting and license plate recognition. However, the whole objective of the CAPTCHAs may be bypassed using the principles of deep learning and computer vision. Convolutional neural networks (CNN) may be used to automatically pass this exam. A CNN is a de

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Alsuhibany, Suliman A. "A Survey on Adversarial Perturbations and Attacks on CAPTCHAs." Applied Sciences 13, no. 7 (2023): 4602. http://dx.doi.org/10.3390/app13074602.

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The Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) technique has been a topic of interest for several years. The ability of computers to recognize CAPTCHA has significantly increased due to the development of deep learning techniques. To prevent this ability from being utilised, adversarial machine learning has recently been proposed by perturbing CAPTCHA images. As a result of the introduction of various removal methods, this perturbation mechanism can be removed. This paper, thus, presents the first comprehensive survey on adversarial perturbations and a

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Lu, Shida, Kai Huang, Talha Meraj, and Hafiz Tayyab Rauf. "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks." PeerJ Computer Science 8 (April 6, 2022): e879. http://dx.doi.org/10.7717/peerj-cs.879.

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A Completely Automated Public Turing Test to tell Computers and Humans Apart (CAPTCHA) is used in web systems to secure authentication purposes; it may break using Optical Character Recognition (OCR) type methods. CAPTCHA breakers make web systems highly insecure. However, several techniques to break CAPTCHA suggest CAPTCHA designers about their designed CAPTCHA’s need improvement to prevent computer vision-based malicious attacks. This research primarily used deep learning methods to break state-of-the-art CAPTCHA codes; however, the validation scheme and conventional Convolutional Neural Net

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Dayanand, Wilson Jeberson, and Klinsega Jeberson. "Attack Vectors and Vulnerabilities: Investigating the Methodologies Employed by Attackers to Bypass CAPTCHA Mechanisms, Including Machine Learning-Based Algorithms, Optical Character Recognition (OCR) Techniques, and Adversarial Attacks." International Research Journal of Multidisciplinary Scope 05, no. 03 (2024): 738–50. http://dx.doi.org/10.47857/irjms.2024.v05i03.0828.

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As the prevalence of online services and platforms continues to grow, so too does the threat posed by automated attacks seeking to circumvent security measures such as CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) mechanisms. This research paper delves into the various attack vectors and vulnerabilities inherent in CAPTCHA systems, aiming to provide a comprehensive understanding of the methodologies employed by attackers to bypass these safeguards. Through an investigation into machine learning-based algorithms, optical character recognition (OCR) techniq

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Gafni, Ruti, and Idan Nagar. "CAPTCHA – Security affecting User Experience." Issues in Informing Science and Information Technology 13 (2016): 063–77. http://dx.doi.org/10.28945/3468.

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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 different CAPTCHA tests was performed among 212 users. Response times for each test and rate of success were collect

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Shumilov, Artem, and Andrey Philippovich. "Gesture-based animated CAPTCHA." Information & Computer Security 24, no. 3 (2016): 242–54. http://dx.doi.org/10.1108/ics-12-2014-0082.

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Purpose This paper aims to describe the development of a new experimental CAPTCHA (completely automated public turing test to tell computers and humans apart), which is supposed to provide better protection against spam bots compared to the existing captcha solutions. Design/methodology/approach In the new CAPTCHA, the authors are using animated images of hand gestures to represent letters and numbers. A lot of people use sign language as their primary means of communication, but an automatic algorithm able to reliably recognize such gestures from videos without any additional data has yet to

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Dankwa, Stephen, and Lu Yang. "Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification." Electronics 10, no. 15 (2021): 1798. http://dx.doi.org/10.3390/electronics10151798.

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The Internet of Things environment (e.g., smart phones, smart televisions, and smart watches) ensures that the end user experience is easy, by connecting lives on web services via the internet. Integrating Internet of Things devices poses ethical risks related to data security, privacy, reliability and management, data mining, and knowledge exchange. An adversarial machine learning attack is a good practice to adopt, to strengthen the security of text-based CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), to withstand against malicious attacks from computer

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Pratt-Chapman, Mandi, Jenna Moses, and Hannah Arem. "Strategies for the Identification and Prevention of Survey Fraud: Data Analysis of a Web-Based Survey." JMIR Cancer 7, no. 3 (2021): e30730. http://dx.doi.org/10.2196/30730.

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Background To assess the impact of COVID-19 on cancer survivors, we fielded a survey promoted via email and social media in winter 2020. Examination of the data showed suspicious patterns that warranted serious review. Objective The aim of this paper is to review the methods used to identify and prevent fraudulent survey responses. Methods As precautions, we included a Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA), a hidden question, and instructions for respondents to type a specific word. To identify likely fraudulent data, we defined a priori indicator

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Shojae Chaeikar, Saman, Fatemeh Mirzaei Asl, Saeid Yazdanpanah, Mazdak Zamani, Azizah Abdul Manaf, and Touraj Khodadadi. "Secure CAPTCHA by Genetic Algorithm (GA) and Multi-Layer Perceptron (MLP)." Electronics 12, no. 19 (2023): 4084. http://dx.doi.org/10.3390/electronics12194084.

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To achieve an acceptable level of security on the web, the Completely Automatic Public Turing test to tell Computer and Human Apart (CAPTCHA) was introduced as a tool to prevent bots from doing destructive actions such as downloading or signing up. Smartphones have small screens, and, therefore, using the common CAPTCHA methods (e.g., text CAPTCHAs) in these devices raises usability issues. To introduce a reliable, secure, and usable CAPTCHA that is suitable for smartphones, this paper introduces a hand gesture recognition CAPTCHA based on applying genetic algorithm (GA) principles on Multi-La

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Musliyana, Zuhar, Teuku Yuliar Arif, and Rizal Munadi. "Peningkatan Sistem Keamanan Autentikasi Single Sign On (SSO) Menggunakan Algoritma AES dan One-Time Password Studi Kasus: SSO Universitas Ubudiyah Indonesia." Jurnal Rekayasa Elektrika 12, no. 1 (2016): 21. http://dx.doi.org/10.17529/jre.v12i1.2896.

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Single Sign On (SSO) merupakan model autentikasi independen yang diimplementasikan Universitas Ubudiyah Indonesia (UUI) menggunakan Message-Digest Algorithm 5 (MD5) dan web service NuSOAP berbasis bahasa pemograman PHP. Sistem ini berjalan pada protokol Hypertext Transfer Protocol (HTTP). Faktanya penggunaan protokol HTTP ini sangat rentan terhadap berbagai jenis serangan karena data dikirim dalam bentuk plaintext tanpa ada proses enkripsi dan penerapan algoritma MD5 pada autentikasi login juga rentan terhadap serangan dictionary attacks dan rainbow tables. Disisi lain, Penggunaan web service

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Vangipuram, Gautam, Aaron Y. Lee, Kasra A. Rezaei, et al. "CAPTCHA as a Visual Performance Metric in Active Macular Disease." Journal of Ophthalmology 2019 (June 9, 2019): 1–6. http://dx.doi.org/10.1155/2019/6710754.

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Purpose. CAPTCHA (completely automated public turing test to tell computers and humans apart) was designed as a spam prevention test. In patients with visual impairment, completion of this task has been assumed to be difficult; but to date, no study has proven this to be true. As visual function is not well measured by Snellen visual acuity (VA) alone, we theorized that CAPTCHA performance may provide additional information on macular disease-related visual dysfunction. Methods. This was designed as a pilot study. Active disease was defined as the presence of either intraretinal fluid (IRF) or

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Journal, IJSREM. "EVALUATION OF CAPTCHAs." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 06, no. 06 (2022). http://dx.doi.org/10.55041/ijsrem14255.

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CAPTCHAs are known as Captcha which stands for Completely Automated Public Turing test to tell Computer and Human Apart. CAPTCHAs are used to prevent automated scripts from harvesting email addresses from publicly accessible forms on the internet and submitting them to spammers. CAPTCHAs are mostly utilised because computers have a difficult time deciphering the text concealed behind distorted visuals, but humans have an easier time deciphering the information hidden behind the distortions. As a result, the optimal response to a CAPTCHA assignment is considered to be a human return, and the in

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