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.
A CAPTCHA (a backronym for "Completely Automated Public Turing test to tell Computers and Humans Apart") is a type of challenge-response test used in computing to determine whether or not the user is human.
CAPTCHAs are, by definition, fully automated, requiring little human maintenance or intervention to administer, producing benefits in cost and reliability.
By definition, the algorithm used to create the CAPTCHA must be made public, though it may be covered by a patent. This is done to demonstrate that breaking it requires the solution to a difficult problem in the field of artificial intelligence (AI) rather than just the discovery of the (secret) algorithm, which could be obtained through reverse engineering or other means.
CAPTCHA- Newly Attractive Presentation for YouthWebCrazyLabs
A CAPTCHA is a program that protects websites against bots by generating and grading tests that humans can pass but current computer programs cannot.
It is used, commonly, to protect your sites.
A CAPTCHA (a backronym for "Completely Automated Public Turing test to tell Computers and Humans Apart") is a type of challenge-response test used in computing to determine whether or not the user is human.
CAPTCHAs are, by definition, fully automated, requiring little human maintenance or intervention to administer, producing benefits in cost and reliability.
By definition, the algorithm used to create the CAPTCHA must be made public, though it may be covered by a patent. This is done to demonstrate that breaking it requires the solution to a difficult problem in the field of artificial intelligence (AI) rather than just the discovery of the (secret) algorithm, which could be obtained through reverse engineering or other means.
CAPTCHA- Newly Attractive Presentation for YouthWebCrazyLabs
A CAPTCHA is a program that protects websites against bots by generating and grading tests that humans can pass but current computer programs cannot.
It is used, commonly, to protect your sites.
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A seminar of CAPTCHA
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Enhancing Web-Security with Stronger CaptchasEditor IJCATR
Captcha are used widely over the World Wide Web to prevent automated programs in order to scrape a data from
websites. Captcha is a challenge response test used to ensure that the response is generated by a person not by a computer. Users
are asked to read and type a string of distorted characters in order to ensure that the user is human or not. Automation is real
problem for web application. Automated attacks can exploit many services:
1. Blogs 2. Forums 3. Phishing 4. Theft of data
Registration Websites use CAPTCHA (completely automated public turing test to tell computers and human apart) systems to
prevent the bot programs from wasting their resources. Today is the Era of where technologies are changes very rapidly. So
spammers are hackers are also trying something new to cracking captcha. That’s why it is necessary to developing an advanced
technology to generating a captcha. Just like simply generating a Captcha Images from text, or rotating an object within images.
web application security using CAPTCHAkomal jadhav
A captcha is a program that can generate and grade tests that: (A) most
humans can pass, but (B) current computer programs can’t pass. Such a program
can be used to differentiate humans from computers and has many applications
for practical security, including (but not limited to)
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA ijait
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 applications. In this paper we present a framework for a text-based CAPTCHA based on Devanagari script which can exploit the difference in the reading proficiency between humans and computer programs. Our selection of Devanagari script-based CAPTCHA is based on the fact that it is used by a
large number of Indian languages including Hindi which is the third most spoken language. There is potential for an exponential rise in the applications that are likely to be developed in that script thereby making it easy to secure Indian language based applications.
I present a new security primitive based on hard AI problems, namely, a novel family of graph-ical password systems built on top of Captcha technology, which we call Captcha as graphical passwords (CaRP). CaRP is both a Captcha and a graphical password scheme. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks. Notably, a CaRP password can be found only probabilistically by automatic online guessing attacks even if the password is in the search set. CaRP also offers a novel approach to address the well-known image hotspot problem in popular graphical password systems, such as PassPoints, that often leads to weak password choices. CaRP is not a panacea, but it offers reasonable security and usability and appears to fit well with some practical applications for improving online security.
in this captcha ppt, you get everything those you need in a seminar. hope you like this ppt..
please check it out. and use it
for more report & ppt contect me. my email id is rkrakeshkumar99@gmail.com
A seminar of CAPTCHA
/* A very kind request to the viewers, please don't try to download it and just edit the name. Just take the idea from the presentation and add your innovation to it */
I hope it will be helpful to you all :)
Good Luck :)
in this captcha report, you get everything those you need in a seminar. hope you like this report..
please check it out. and use it
for more report contect me. my email id is rkrakeshkumar99@gmail.com
Enhancing Web-Security with Stronger CaptchasEditor IJCATR
Captcha are used widely over the World Wide Web to prevent automated programs in order to scrape a data from
websites. Captcha is a challenge response test used to ensure that the response is generated by a person not by a computer. Users
are asked to read and type a string of distorted characters in order to ensure that the user is human or not. Automation is real
problem for web application. Automated attacks can exploit many services:
1. Blogs 2. Forums 3. Phishing 4. Theft of data
Registration Websites use CAPTCHA (completely automated public turing test to tell computers and human apart) systems to
prevent the bot programs from wasting their resources. Today is the Era of where technologies are changes very rapidly. So
spammers are hackers are also trying something new to cracking captcha. That’s why it is necessary to developing an advanced
technology to generating a captcha. Just like simply generating a Captcha Images from text, or rotating an object within images.
web application security using CAPTCHAkomal jadhav
A captcha is a program that can generate and grade tests that: (A) most
humans can pass, but (B) current computer programs can’t pass. Such a program
can be used to differentiate humans from computers and has many applications
for practical security, including (but not limited to)
A FRAMEWORK FOR DEVANAGARI SCRIPT-BASED CAPTCHA ijait
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 applications. In this paper we present a framework for a text-based CAPTCHA based on Devanagari script which can exploit the difference in the reading proficiency between humans and computer programs. Our selection of Devanagari script-based CAPTCHA is based on the fact that it is used by a
large number of Indian languages including Hindi which is the third most spoken language. There is potential for an exponential rise in the applications that are likely to be developed in that script thereby making it easy to secure Indian language based applications.
I present a new security primitive based on hard AI problems, namely, a novel family of graph-ical password systems built on top of Captcha technology, which we call Captcha as graphical passwords (CaRP). CaRP is both a Captcha and a graphical password scheme. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks. Notably, a CaRP password can be found only probabilistically by automatic online guessing attacks even if the password is in the search set. CaRP also offers a novel approach to address the well-known image hotspot problem in popular graphical password systems, such as PassPoints, that often leads to weak password choices. CaRP is not a panacea, but it offers reasonable security and usability and appears to fit well with some practical applications for improving online security.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
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Antifertility, Toxicity studies as per OECD guidelines
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
2. CONTENT
Introduction
Definition
Bascilly what a ‘Captcha do ?
How does Captcha work?
Types of Captchas
Breaking Captchas
Characteristics
Applications
Conclusion
3. INTRODUCTION
Computers and Humans are apart , a technique used
by a computer to tell if it is interacting with human or
some other computer.
It is needed because activities such as online
commerce transactions, search engine submissions,
Web polls, Web registrations, free e-mail service
registration and other automated services are
subject to software programs, or bots, that mimic
the behavior of humans in order to skew the results
of the automated task or perform malicious
activities, such as gathering e-mail addresses for
spamming.
4. DEFINITION
A CAPTCHA (an acronym for "completely automated public
turing test to tell computers and humans apart") is a type of
challenge-response test used in computing to determine
whether or not the user is human.
A CAPTCHA is a program that can generate and grade tests
that:
Most humans can pass, but
Current computer programs can't pass
5. BASCILLY WHAT A ‘CAPTCHA DO ?
In order to validate the digital transaction, using the
CAPTCHA system the user is presented with a distorted
word typically placed on top of a distorted background.
The user must type the word into a field in order to
complete the process.
Computers have a difficult time decoding the distorted
words while humans can easily decipher the text.
Some CAPTCHAs now use pictures instead of words
where the user is presented with a series of pictures and
asked what the common element among all of the
pictures is.
By entering that common element, the user validates
the transaction and the computer knows it is dealing
with a human and not a bot.
6. HOW DOES A CAPTCHA WORKS?
A CAPTCHA image shows a random string which the user has to
type to submit a form.
This is a simple problem for humans, but a very hard problem
for computers which have to use character recognition,
especially, because the displayed string is alienated in a way,
which makes it very hard for a computer to decode.
7. TYPES OF CAPTCHA
Text based
• Gimpy, ez-gimpy
• Gimpy-r, Google CAPTCHA
• Simard’s HIP (MSN)
Graphic based
• Bongo
• Pix
Audio based
8. Text based CAPTCHAs
Gimpy, ez-gimpy
• Pick a word or words from a small dictionary
• Distort them and add noise and background
Gimpy-r, Google’s CAPTCHA
• Pick random letters
• Distort them, add noise and background
Simard’s HIP
• Pick random letters and numbers
• Distort them and add arcs
9. Graphic based CAPTCHAs
Bongo
• Display two series of blocks
• User must find the
characteristic that sets the
two series apart
• User is asked to determine
which series each of four
single blocks belongs to
• Difference? thick vs. thin
lines
10. Graphic based CAPTCHAs
PIX
• Create a large database of
labeled images
• Pick a concrete object
• Pick four images of the object
from the images database
• Distort the images
• Ask the user to pick the object
for a list of words
11. Audio based CAPTCHAs
Pick a word or a sequence of numbers at random
Render them into an audio clip using a TTS
software
Distort the audio clip
Ask the user to identify and type the word or
numbers
12. BREAKING CAPTCHAS
Most text based CAPTCHAs have been broken
by software
• OCR
• Segmentation
Other CAPTCHAs were broken by streaming the
tests for unsuspecting users to solve.
13. CHARACTERISTICS
They are completely automated. This avoids the
necessity for human maintenance or intervention in
the test, with obvious benefits in cost and reliability.
The algorithm used is made public, though it may be
encumbered by a patent. This is stipulated so as to
require that breaking a captcha requires the solution
of a hard problem in the field of artificial intelligence
(AI) rather than just the discovery of the (secret)
algorithm, which could be obtained through other
techniques.
15. CONCLUSION
CAPTCHAS are any software that distinguishes human and
machine.
Research in CAPTCHAS implies advancement in AI making
computers understand how human thinks.
Internet companies are making billions of dollars every year,
their security and services quality matters and so does the
advancement in CAPTCHA technology.