scholarly journals Security and Usability Issues in Captcha Design

2015 ◽  
Vol 3 (6) ◽  
pp. 37-43
Author(s):  
S. Thangavelu ◽  
T. Purusothaman
Keyword(s):  
Web Services ◽  
Turing Test ◽  
Interactive Proof ◽  
Simple Task ◽  
Response Test

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.

scholarly journals Sliding Puzzle CAPTCHA Analysis

2020 ◽  
Vol 6 (12) ◽  
pp. 165-170
Author(s):  
Saurabh Chauhan and Shreya Kapoor
Keyword(s):  
Web Services ◽  
Computer Programs ◽  
Turing Test ◽  
The Internet ◽  
Everyday Activities

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 of the conventional CAPTCHA challenges have become an easy nut to crack for bots, hence calling a need for better CAPTCHA alternatives. This paper studies the infamous 'Sliding Puzzle' as an alternate CAPTCHA challenge and analysing the complexity to solve it via bot script.

scholarly journals Usability Evaluation of Randomly Generated Fonts for Bubble Captcha

MENDEL ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 143-150
Author(s):  
Ondrej Bostik ◽  
Karel Horak ◽  
Jan Klecka
Keyword(s):  
Web Services ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Human Perception ◽  
Turing Test ◽  
Usability Evaluation ◽  
Wide Spread ◽  
Optical Character ◽  
Ongoing Work ◽  
The Web

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.

scholarly journals OCR Captcha Alternative for Visually Impaired Users

2020 ◽  
Vol 6 (12) ◽  
pp. 240-247
Author(s):  
Shivam Sehgal and Vandana Choudhary
Keyword(s):  
Web Services ◽  
User Experience ◽  
Search Engines ◽  
Visually Impaired ◽  
Daily Life ◽  
Computer Programs ◽  
Turing Test ◽  
The Internet ◽  
Automatic Registration ◽  
User Friendly

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 the users, especially visually impaired users. This paper provides an alternative OCR based captcha that can be used by all the users (including visually impaired users). It would provide better user experience, easy to solve and hard for a bot to crack.

scholarly journals Pengembangan Modul Autentikasi Captcha Berbasis Gambar dengan Algoritma Flood Fill

2017 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Jessika Wandapranata ◽  
Seng Hansun
Keyword(s):  
Turing Test ◽  
Response Test ◽  
The Times ◽  
Flood Fill

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 implementasinya, dapat disimpulkan bahwa algoritma Flood Fill berhasil diimplementasikan pada autentikasi modul Capthca berbasis gambar. Telah dilakukan juga pengumpulan sampel data dan didapatkan hasil 77.4% responden merekomendasikan penggunaan Captcha yang telah dibangun. Kata Kunci— Autentikasi, Captcha, Captcha Berbasis Gambar, Flood FillAbstract— Captcha is one of many methods to secure internet from bots attack. Captcha (Completely Automated Public Turing Test To Tell Computers and Humans Apart) is a challenge response test which used to differentiate human from bots. However after the times flow, some hackers had successfully made an automatic bots to break captcha. Therefore, in this particular research, formed an imaged based captcha that uses different method of authentication. Flood Fill algorithm will be used as authentication method. In the implementation, Flood Fill algorithm has been successfully implemented as an authentication method in image based captcha. After that, data samples have been collected and the result shows 77.4% respondents agreed to recommend using the Captcha that has been developed. Keywords— Authentication, Captcha, Image-based Captcha, Flood Fill

Distinguishing Human Users from Bots

2014 ◽  
pp. 156-173 ◽  
Author(s):  
M. Hassan Shirali-Shahreza ◽  
Sajad Shirali-Shahreza
Keyword(s):  
Web Services ◽  
Computer Programs ◽  
Interactive Proof ◽  
Complete Survey

Human Interactive Proof (HIP) systems have been introduced to distinguish between various groups of users. CAPTCHA methods are one of the important branches of HIP systems, which are used to distinguish between human users and computer programs automatically and block automated computer programs form abusing Web services. The goal of these systems is to ask questions, which human users can easily answer but current computer programs cannot. In this chapter, the authors collect different pioneering works, which are done on CAPTCHA systems and create a complete survey of them. They collect more than 100 published works and classify them into 3 categories. This chapter contains different works, which are done for creating CAPTCHA methods and assessing CAPTCHA methods from different aspects, including the attacks done against CAPTCHA methods. This chapter can be used by researchers in CAPTCHA domains to quickly find previous works.

scholarly journals Research trends on CAPTCHA: A systematic literature

2021 ◽  
Vol 11 (5) ◽  
pp. 4300
Author(s):  
Igbekele Emmanuel O. ◽  
Adebiyi Ayodele A. ◽  
Ibikunle Francis A. ◽  
Adebiyi Marion O. ◽  
Olugbara O. Oludayo
Keyword(s):  
Web Services ◽  
Turing Test ◽  
Human Interaction ◽  
Future Research ◽  
Current Trends ◽  
Emerging Trends ◽  
The Subject ◽  
Use Of The Internet ◽  
Automated Processes ◽  
Research Endeavor

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 computer and human apart (CAPTCHA), a form of IDS in web services is advantageous. Research into CAPTCHA can be grouped into two -CAPTCHA development and CAPTCH recognition. Selective learning and convolutionary neural networks (CNN) as well as deep convolutionary neural network (DCNN) have become emerging trends in both the development and recognition of CAPTCHAs. This paper reviews critically over fifty article publications that shows the current trends in the area of the CAPTCHA scheme, its development and recognition mechanisms and the way forward in helping to ensure a robust and yet secure CAPTCHA development in guiding future research endeavor in the subject domain.

scholarly journals The Turing Test as Interactive Proof

Noûs ◽  
2007 ◽  
Vol 41 (4) ◽  
pp. 686-713 ◽  
Author(s):  
Stuart M. Shieber
Keyword(s):  
Turing Test ◽  
Interactive Proof

The Unlearnable Checkerboard Pattern

2019 ◽  
Vol 1 (2) ◽  
pp. 78-80
Author(s):  
Eric Holloway
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Checkerboard Pattern ◽  
Simple Task

Detecting some patterns is a simple task for humans, but nearly impossible for current machine learning algorithms.  Here, the "checkerboard" pattern is examined, where human prediction nears 100% and machine prediction drops significantly below 50%.

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