An Implementation of A Geometric and Arithmetic CAPTCHA without Database
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This document presents a proposal for an arithmetic and geometric CAPTCHA without a database. It discusses existing CAPTCHAs that use text, graphics, or puzzles but require large databases. The proposed scheme generates 3 random geometric shapes and a math operation for the user to perform without storing images. If answered correctly, it verifies the user is human. In conclusion, the database-less geometric CAPTCHA is secure and can be applied to real applications.
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t—CAPTCHA, Completely Automated Public
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technology to generating a captcha. Just like simply generating a Captcha Images from text, or rotating an object within images.
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This document provides an overview of CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart). It defines CAPTCHAs as challenges used to determine if a user is human or computer. It describes how CAPTCHAs work by presenting distorted text or images that are easy for humans but difficult for computers to decipher. The document outlines different types of CAPTCHAs, how they can be broken, their applications in preventing automated activities, and concludes that CAPTCHAs advance both security and artificial intelligence.
Demonstrated Deep Learning Techniques for the Resolution of CAPTCHA images
This document discusses using deep learning techniques to break text-based CAPTCHAs. The goal is to train a neural network model on CAPTCHA image datasets to identify patterns and characters in images in order to solve CAPTCHAs. The document outlines existing CAPTCHA solving methods, benefits and challenges of the proposed deep learning approach, and prior literature on using neural networks to break CAPTCHAs with varying levels of success.
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This document provides an overview of CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart). It discusses why CAPTCHAs are used, defines them, describes the different types including text-based, graphic-based and audio-based CAPTCHAs. It also outlines some of the major applications of CAPTCHAs, such as preventing comment spam in blogs, protecting website registration, and protecting email addresses from scrapers.
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This document discusses automating the evaluation of CAPTCHAs in terms of usability and security. It begins by introducing CAPTCHAs and the security-usability dilemma they present. Namely, CAPTCHAs that are highly secure are often less usable for humans, while highly usable CAPTCHAs tend to be less secure. The document then explores current practices for evaluating CAPTCHA usability and security, and the limitations thereof. It proposes the concept of "Captchæckers" - automated programs that can evaluate one or more performance aspects of CAPTCHAs, such as their usability and security. The goal is to develop techniques to partially or fully automate the evaluation process in order to address
Introduction about Captcha and its types
this presentation contains basic information about captcha, its types, where it is used and how to break captcha
Captcha
The document discusses CAPTCHAs, which are programs that generate tests to tell humans and computers apart. It describes the origins of CAPTCHAs in preventing bots from adding URLs to search engines. The main types of CAPTCHAs are described as text, image, audio, video, puzzle, and 3D-based. reCAPTCHA is highlighted as a free captcha service that helps digitize books while determining if users are human. Some issues are that most text CAPTCHAs have been broken by advances in OCR and other techniques.
Captcha
CAPTCHA is a type of challenge-response test used to determine if the user is human. It displays distorted letters as an image that must be correctly interpreted. The purpose is to tell computers and humans apart, by having computers fail the test. When designing CAPTCHAs, the text should be modified and different images should be used each time, rather than always using the same one. To create a CAPTCHA, random text is generated and an image is created showing that text in a complex, distorted way. The text value is stored, then on form submission it is compared to what the user entered to verify they are human.
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This document proposes a new type of CAPTCHA called an image arrangement CAPTCHA that uses rearranged image pixels from photographs. It discusses how existing text-based CAPTCHAs can be solved by computers but image recognition remains difficult. The proposed CAPTCHA randomly rearranges pixels from an image into a grid that users must rearrange correctly. Experimental results showed humans could easily solve rearranged image puzzles. The document discusses improving security, accumulating image sources, and addressing usability concerns like response time. It argues image CAPTCHAs could be both secure against computers and entertaining for humans.
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An Implementation of A Geometric and Arithmetic CAPTCHA without Database
- 1. An Implementation of A Geometric and Arithmetic CAPTCHA without Database A Technical Seminar Presentation By SHUBHAM SAURAV (1DS12CS094) Under Guidance Of: Dr Arbind Gupta (Professor) Department Of Computer Science & Engineering
- 2. Contents • Introduction • Existing System • Drawbacks • The Proposed Scheme • Conclusion • References
- 3. CAPTCHA • What is an CAPTCHA? - A CAPTCHA -an acronym for "Completely Automated Public Turing test to tell Computers and Humans Apart" • Why CAPTCHA? - To prevent online polls - Abusing free online accounts - Spam e-mails
- 4. INTRODUCTION • Nowaday, Internet require a CAPTCHA to identify the user as a human or a bot to protect the system from being damaged by the actions of bots. • Few major concern with a CAPTCHA are: i. CAPTCHA image has to be developed ii. Database is required to store images used in CAPTCHA
- 5. • Firstly we will create 3 random geometric shapes. • Secondly user will identify the desired shape • Finally user will be asked to do a simple calculation based on the captch image.
- 6. EXISTING SYSTEM There are various kind of Captcha which are currenty being used some of them are- • Text based captcha • Graphics based captcha • Puzzle based captcha
- 7. Text based Captcha • Very easy to implement • Extremely efficient • Necessitates a huge question bank • No. of digits and character are limited
- 8. Graphics based Captcha • User have to guess images • Identify images with similarity • It is a firm AI problem • Hard to break
- 9. Puzzle based captcha • A picture is divided into chunks • The user is expected to join these chunks to form the full picture similar to original one
- 10. TYPES OF GEOMETRIC CAPTCHA • FAS captcha In this type of captcha user looks at the number and do the required arithmetic operations to give the desired result.
- 11. • Ironclad Captcha This type of CAPTCHA image, showing various shapes to the user, and the user answer the question based on these shapes
- 12. DRAWBACKS • We need to develop a captcha image • Images are usually large in size and takes large time to load which decreases the effficiency. • Chances of database being crashed
- 13. Proposed System • Geometric CAPTCHA is developed with HTML5 and Java Script • Does not require any database to store it • user must enter the correct result into the designated slot.
- 14. Conclusions • This research presents an implementation of a geometric and arithmetic CAPTCHA without database . • It uses an image showing three random geometric shapes and a random two mathematical symbol. • Then the user needs to convert the number of shapes by numerical calculations that appear to put the correct answer. • A geometric and arithmetic CAPTCHA is safety and can applied to real applications.
- 15. References [1] S. Hocevar. (2014, Jan 10). PWNtcha-CAPTCHA decoder [Online]. Available: http://caca.zoy.org/wiki/PWNtcha [2] K. Chellapilla, K. Larson, P. Y. Simard and M. Czerwinski, “Computers beat humans at single character recognition in reading based human interaction proofs (HIPs),” in proceedings of the 2nd conference on email and anti-spam., Stanford university. 2005. [3] Red Hat Inc. (2014, Jan. 5). Sign up for a Fedora account [Online]. Available: https://admin.fedoraproject.org/accounts/user/new [4] Security Stronghold. (2014, Jan. 4). Ironclad CAPTCHA [Online]. Available:http://www.securitystronghold.com/products/ironclad-captcha [5] Google. (2014, Jan. 20). reCAPTCHA [Online]. Available: http://www.google.com/recaptcha/learnmore [6] S. Panhuber and M. Haudum. (2014, Jan 14). State of the art in antiautomation technologies in today’s web [Online].
- 16. Thank You