The document discusses various topics related to human-computer interaction (HCI) including goals of HCI, limitations on interactive performance, interaction styles, CAPTCHA and its history and working. Some key points:
- The principal goal of HCI is to develop usable, safe and efficient systems for end-users by understanding how users interact with systems and designing tools that allow user-centered access and interaction.
- Interactive performance can be limited by factors like computation, storage, graphics and network capacity.
- Common interaction styles include command lines, menus, natural language, forms/spreadsheets and WIMP (windows, icons, menus, pointers) interfaces.
- CAPTCHA is a type of
CAPTCHAs are challenges used to distinguish humans from computers by generating tests that are easy for humans but difficult for computers to solve. The document discusses the history and development of CAPTCHAs, including how they were created to prevent bots from abusing free email services. It describes common types of CAPTCHAs like distorted text images and audio tests, and examines the principles and applications of CAPTCHAs such as preventing comment spam, dictionary attacks, and protecting website registrations from automated programs. The document also covers accessibility issues for CAPTCHAs and research into beating visual CAPTCHAs through character recognition techniques.
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.
Security and User Experience: A Holistic Model for CAPTCHA Usability IssuesKarthikeyan Umapathy
CAPTCHA is a widely adopted security measure on the Web and is designed to effectively distinguish humans and bots by exploiting human’s ability to recognize patterns that an automated bot is incapable of. To counter this, bots are being designed to recognize patterns in CAPTCHAs. As a result, CAPTCHAs are now being designed to maximize the difficulty for bots to pass human interaction proof tests, while making it quite an arduous task even for humans as well. The approachability of CAPTCHA is increasingly being questioned because of the inconvenience it causes to legitimate users. Irrespective of the popularity, CAPTCHA is indispensable if one wants to avoid potential security threats. We investigated the usability issues associated with CAPTCHA. We built a holistic model by identifying the important concepts associated with CAPTCHAs and its usability. This model can be used as a guide for the design and evaluation of CAPTCHAs.
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.
IRJET- Different Implemented Captchas and Breaking MethodsIRJET Journal
The document discusses different types of CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) that have been implemented to prevent automated computer programs or bots from accessing online services. It describes the most common type of CAPTCHA, which are text-based CAPTCHAs that involve distorting and noising text for the user to decipher. However, these have limitations as computer programs continue to improve at text recognition. The document also briefly mentions image-based CAPTCHAs and their challenges, as well as methods that have been used to break existing CAPTCHAs, such as OCR and non-OCR approaches.
CAPTCHA is an acronym that stands for "Completely Automated Public Turing test to tell Computers and Humans Apart". It is a challenge-response test used to determine if a user is human. A common type of CAPTCHA requires a user to type distorted letters or numbers from an image. CAPTCHAs are designed to be easy for humans but difficult for computers to solve through optical character recognition. They are used to prevent spam and automated programs from accessing certain online services.
The document discusses CAPTCHAs, which are tests used to distinguish humans from computers on websites. CAPTCHAs are needed to prevent automated programs ("bots") from exploiting websites by creating fake accounts or spamming users. The document outlines the history and development of CAPTCHAs, from early methods using distorted text to current visual and audio tests. It also explains how CAPTCHAs are related to the Turing Test for determining machine intelligence and discusses different types of CAPTCHAs, including text, visual, and audio tests.
CAPTCHAs are challenges used to distinguish humans from computers by generating tests that are easy for humans but difficult for computers to solve. The document discusses the history and development of CAPTCHAs, including how they were created to prevent bots from abusing free email services. It describes common types of CAPTCHAs like distorted text images and audio tests, and examines the principles and applications of CAPTCHAs such as preventing comment spam, dictionary attacks, and protecting website registrations from automated programs. The document also covers accessibility issues for CAPTCHAs and research into beating visual CAPTCHAs through character recognition techniques.
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.
Security and User Experience: A Holistic Model for CAPTCHA Usability IssuesKarthikeyan Umapathy
CAPTCHA is a widely adopted security measure on the Web and is designed to effectively distinguish humans and bots by exploiting human’s ability to recognize patterns that an automated bot is incapable of. To counter this, bots are being designed to recognize patterns in CAPTCHAs. As a result, CAPTCHAs are now being designed to maximize the difficulty for bots to pass human interaction proof tests, while making it quite an arduous task even for humans as well. The approachability of CAPTCHA is increasingly being questioned because of the inconvenience it causes to legitimate users. Irrespective of the popularity, CAPTCHA is indispensable if one wants to avoid potential security threats. We investigated the usability issues associated with CAPTCHA. We built a holistic model by identifying the important concepts associated with CAPTCHAs and its usability. This model can be used as a guide for the design and evaluation of CAPTCHAs.
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.
IRJET- Different Implemented Captchas and Breaking MethodsIRJET Journal
The document discusses different types of CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) that have been implemented to prevent automated computer programs or bots from accessing online services. It describes the most common type of CAPTCHA, which are text-based CAPTCHAs that involve distorting and noising text for the user to decipher. However, these have limitations as computer programs continue to improve at text recognition. The document also briefly mentions image-based CAPTCHAs and their challenges, as well as methods that have been used to break existing CAPTCHAs, such as OCR and non-OCR approaches.
CAPTCHA is an acronym that stands for "Completely Automated Public Turing test to tell Computers and Humans Apart". It is a challenge-response test used to determine if a user is human. A common type of CAPTCHA requires a user to type distorted letters or numbers from an image. CAPTCHAs are designed to be easy for humans but difficult for computers to solve through optical character recognition. They are used to prevent spam and automated programs from accessing certain online services.
The document discusses CAPTCHAs, which are tests used to distinguish humans from computers on websites. CAPTCHAs are needed to prevent automated programs ("bots") from exploiting websites by creating fake accounts or spamming users. The document outlines the history and development of CAPTCHAs, from early methods using distorted text to current visual and audio tests. It also explains how CAPTCHAs are related to the Turing Test for determining machine intelligence and discusses different types of CAPTCHAs, including text, visual, and audio tests.
IRJET-PLC and SCADA based Distribution and Substation AutomationIRJET Journal
This document proposes a new type of CAPTCHA called a click-based video CAPTCHA. CAPTCHAs are used to distinguish humans from bots when users log into online services. Existing CAPTCHAs have weaknesses that can be exploited by bots. The proposed click-based video CAPTCHA aims to address these weaknesses by presenting users with a video and asking them to click on points within the video. When users attempt to log in, they would be asked to click on the same points in the same video. If the clicked points match, the user is authenticated as human. The document discusses the working methodology, technical requirements, comparison to existing systems, and security analysis of the proposed click-based video CAPTCHA
This document proposes a new type of CAPTCHA called a click-based video CAPTCHA. CAPTCHAs are used to distinguish humans from bots when users log into online services. Existing CAPTCHAs have weaknesses that new bot programs can exploit. The proposed click-based video CAPTCHA aims to address these weaknesses by presenting users with a video and asking them to click on points within the video. When users attempt to log in, they would be asked to click on the same points in the same video. If the clicked points match, the user is authenticated. The document discusses different types of existing CAPTCHAs and their weaknesses. It provides background on CAPTCHAs and compares the existing and proposed systems
How effective are CAPTCHAs as a security mechanism against malicious automation? We report and analyze four case studies and draw conclusions as to the best ways to implement CAPTCHAs as an integrated part of a security strategy. Specifically, security teams should use novel CAPTCHA methods that make the CAPTCHA into something enjoyable, like a mini-game. Also, we help identify how to present a CAPTCHA only when users exhibit suspicious behavior by implementing various automation detection mechanisms.
An Implementation of A Geometric and Arithmetic CAPTCHA without DatabaseShubham Saurav
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.
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
The document is a seminar report submitted by Ganesh B. Dhage to the Department of Computer Engineering at RMD Sinhgad School of Engineering in partial fulfillment of the requirements for a degree in computer engineering. It discusses CAPTCHA security and is guided by Prof. Vaibhav Dhore. The report includes an introduction to CAPTCHAs, different types of CAPTCHAs such as text, graphic, and audio CAPTCHAs. It also discusses constructing, breaking, and issues with CAPTCHAs.
This document provides an overview of CAPTCHAs, including definitions, examples, types (text, graphic, audio), applications (preventing spam), advantages (distinguishing humans and bots), and disadvantages (difficulties for those with visual impairments). It discusses common CAPTCHAs like reCAPTCHA and MSN Passport and concludes that while CAPTCHAs are generally effective against bots, current implementations have room for improvement.
This document is a seminar report on CAPTCHAs presented by Rishabh Agarwal to fulfill requirements for a bachelor's degree. It discusses the history and purpose of CAPTCHAs, which are tests used to distinguish humans from bots on websites. The report outlines different types of CAPTCHAs including text, graphic, and audio CAPTCHAs. It also covers applications of CAPTCHAs, how to construct them, techniques for breaking CAPTCHAs, issues with usability, and how modern CAPTCHAs like reCAPTCHA are helping to digitize books.
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.
This document is a seminar report on CAPTCHA security submitted by Ganesh B. Dhage to the Department of Computer Engineering at Sinhgad School of Engineering, Pune, India in partial fulfillment of requirements for a computer engineering degree. It discusses CAPTCHAs, which are tests used to distinguish humans from bots attempting to access websites. The report covers the history and motivation for CAPTCHAs, different types of CAPTCHAs, how to construct and break CAPTCHAs, issues with CAPTCHAs, and applications of CAPTCHAs.
This document summarizes recent research on CAPTCHAs (Completely Automated Public Turing Tests to Tell Computers and Humans Apart). It discusses the history and applications of CAPTCHAs, and provides an overview of different types of CAPTCHAs that have been developed, including text-based, image-based, audio-based, and puzzle-based CAPTCHAs. The document focuses on various text-based CAPTCHA methods such as Gimpy, EZ-Gimpy, Baffle Text, and 3D CAPTCHAs. It also examines image-based CAPTCHAs like Bongo, Pix, and handwritten text CAPTCHAs.
Captcha a security measure against spam attackseSAT Journals
Abstract A CAPTCHA is challenge response test used to ensure that the response is generated by humans. CAPTCHA test are administrator by machines to differentiate between humans and machine. Because of this reason CAPTCHAs are also known as the Reverse Turing Test as contrast to Turing Test which is administrated by humans. CAPCHA is used as a simple puzzle, which restricts various automated programs (also known as internet-bots) to sign-up e-mail accounts, cracking passwords, spam sending etc. A common type of CAPTCHA requires user to recognize the letters from a distorted image, since normal human can easily recognize the CAPTCHA, while that particular text cannot be recognized by bot. In short CAPTCHA program challenges the automated program, which trying to access private data. So, CAPTCHA helps in preventing the access of personal mail accounts by some unauthorized automated spamming programs. Index Terms: CAPTCHA, Security, Spam Attacks, Reverse Turing Test.
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a program that protects websites from bots by generating tests that humans can pass but computers cannot. The document discusses the history of CAPTCHAs, including their development in the 1990s and 2000s. It also covers different types of CAPTCHAs like text, image, and audio-based; applications such as preventing website registration by bots and dictionary attacks; benefits like increased security and reduced spam; drawbacks like sometimes being difficult for people with disabilities; and methods that bots use to break CAPTCHAs through techniques like optical character recognition. In conclusion, CAPTCHAs are an essential tool for online security but must
The most notable primitive invented is Captcha, which distinguishes human users from computers by presenting a challenge, i.e., a puzzle, beyond the capability of computers but easy for humans. Captcha is now a standard Internet security technique to protect online email and other services from being abused by bots.
This document provides an overview of CAPTCHA systems. It begins with defining CAPTCHA as a test used to differentiate humans from bots. It then discusses the different types of CAPTCHAs, including text, image, audio, video, and puzzle-based CAPTCHAs. The document outlines the design principles, process flow, generation process and working of CAPTCHAs. It also discusses the algorithmic process, applications, drawbacks and issues in designing CAPTCHAs. In conclusion, it emphasizes that security is important for web applications and CAPTCHAs provide a potential method for securing websites against bot attacks.
The document discusses CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart). It provides a brief history of CAPTCHAs, describes different types including text, graphics, and audio-based CAPTCHAs. Applications of CAPTCHAs include preventing automated actions on email services and dictionary attacks. The document also covers processes used in CAPTCHAs, techniques for breaking CAPTCHAs, improvements like reCAPTCHA, potential benefits and drawbacks.
The document discusses the opportunities presented by bots, including high demand from companies, the ability to create more natural experiences for users on messaging apps, and simpler deployment and updating than traditional apps. It provides an overview of the typical architecture of a bot, including components like the Bot Builder SDK, LUIS, and the Developer Portal. Several use cases for bots are presented, such as managing cloud resources from Skype, handling customer service, and acting as knowledgeable assistants. Guidelines for creating effective bots focus on solving users' needs with minimal effort and guiding users to discover what the bot can do.
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
The document presents a new CAPTCHA technique based on identifying an image's upright orientation. This task is difficult for computers but easy for humans. Candidate images are filtered to remove those that computers can automatically orient upright. A social feedback mechanism is then used to verify the remaining images have an orientation humans can recognize. Experiments showed this technique achieves high success rates for humans and low rates for bots, without requiring text entry.
IRJET-PLC and SCADA based Distribution and Substation AutomationIRJET Journal
This document proposes a new type of CAPTCHA called a click-based video CAPTCHA. CAPTCHAs are used to distinguish humans from bots when users log into online services. Existing CAPTCHAs have weaknesses that can be exploited by bots. The proposed click-based video CAPTCHA aims to address these weaknesses by presenting users with a video and asking them to click on points within the video. When users attempt to log in, they would be asked to click on the same points in the same video. If the clicked points match, the user is authenticated as human. The document discusses the working methodology, technical requirements, comparison to existing systems, and security analysis of the proposed click-based video CAPTCHA
This document proposes a new type of CAPTCHA called a click-based video CAPTCHA. CAPTCHAs are used to distinguish humans from bots when users log into online services. Existing CAPTCHAs have weaknesses that new bot programs can exploit. The proposed click-based video CAPTCHA aims to address these weaknesses by presenting users with a video and asking them to click on points within the video. When users attempt to log in, they would be asked to click on the same points in the same video. If the clicked points match, the user is authenticated. The document discusses different types of existing CAPTCHAs and their weaknesses. It provides background on CAPTCHAs and compares the existing and proposed systems
How effective are CAPTCHAs as a security mechanism against malicious automation? We report and analyze four case studies and draw conclusions as to the best ways to implement CAPTCHAs as an integrated part of a security strategy. Specifically, security teams should use novel CAPTCHA methods that make the CAPTCHA into something enjoyable, like a mini-game. Also, we help identify how to present a CAPTCHA only when users exhibit suspicious behavior by implementing various automation detection mechanisms.
An Implementation of A Geometric and Arithmetic CAPTCHA without DatabaseShubham Saurav
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.
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
The document is a seminar report submitted by Ganesh B. Dhage to the Department of Computer Engineering at RMD Sinhgad School of Engineering in partial fulfillment of the requirements for a degree in computer engineering. It discusses CAPTCHA security and is guided by Prof. Vaibhav Dhore. The report includes an introduction to CAPTCHAs, different types of CAPTCHAs such as text, graphic, and audio CAPTCHAs. It also discusses constructing, breaking, and issues with CAPTCHAs.
This document provides an overview of CAPTCHAs, including definitions, examples, types (text, graphic, audio), applications (preventing spam), advantages (distinguishing humans and bots), and disadvantages (difficulties for those with visual impairments). It discusses common CAPTCHAs like reCAPTCHA and MSN Passport and concludes that while CAPTCHAs are generally effective against bots, current implementations have room for improvement.
This document is a seminar report on CAPTCHAs presented by Rishabh Agarwal to fulfill requirements for a bachelor's degree. It discusses the history and purpose of CAPTCHAs, which are tests used to distinguish humans from bots on websites. The report outlines different types of CAPTCHAs including text, graphic, and audio CAPTCHAs. It also covers applications of CAPTCHAs, how to construct them, techniques for breaking CAPTCHAs, issues with usability, and how modern CAPTCHAs like reCAPTCHA are helping to digitize books.
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.
This document is a seminar report on CAPTCHA security submitted by Ganesh B. Dhage to the Department of Computer Engineering at Sinhgad School of Engineering, Pune, India in partial fulfillment of requirements for a computer engineering degree. It discusses CAPTCHAs, which are tests used to distinguish humans from bots attempting to access websites. The report covers the history and motivation for CAPTCHAs, different types of CAPTCHAs, how to construct and break CAPTCHAs, issues with CAPTCHAs, and applications of CAPTCHAs.
This document summarizes recent research on CAPTCHAs (Completely Automated Public Turing Tests to Tell Computers and Humans Apart). It discusses the history and applications of CAPTCHAs, and provides an overview of different types of CAPTCHAs that have been developed, including text-based, image-based, audio-based, and puzzle-based CAPTCHAs. The document focuses on various text-based CAPTCHA methods such as Gimpy, EZ-Gimpy, Baffle Text, and 3D CAPTCHAs. It also examines image-based CAPTCHAs like Bongo, Pix, and handwritten text CAPTCHAs.
Captcha a security measure against spam attackseSAT Journals
Abstract A CAPTCHA is challenge response test used to ensure that the response is generated by humans. CAPTCHA test are administrator by machines to differentiate between humans and machine. Because of this reason CAPTCHAs are also known as the Reverse Turing Test as contrast to Turing Test which is administrated by humans. CAPCHA is used as a simple puzzle, which restricts various automated programs (also known as internet-bots) to sign-up e-mail accounts, cracking passwords, spam sending etc. A common type of CAPTCHA requires user to recognize the letters from a distorted image, since normal human can easily recognize the CAPTCHA, while that particular text cannot be recognized by bot. In short CAPTCHA program challenges the automated program, which trying to access private data. So, CAPTCHA helps in preventing the access of personal mail accounts by some unauthorized automated spamming programs. Index Terms: CAPTCHA, Security, Spam Attacks, Reverse Turing Test.
CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a program that protects websites from bots by generating tests that humans can pass but computers cannot. The document discusses the history of CAPTCHAs, including their development in the 1990s and 2000s. It also covers different types of CAPTCHAs like text, image, and audio-based; applications such as preventing website registration by bots and dictionary attacks; benefits like increased security and reduced spam; drawbacks like sometimes being difficult for people with disabilities; and methods that bots use to break CAPTCHAs through techniques like optical character recognition. In conclusion, CAPTCHAs are an essential tool for online security but must
The most notable primitive invented is Captcha, which distinguishes human users from computers by presenting a challenge, i.e., a puzzle, beyond the capability of computers but easy for humans. Captcha is now a standard Internet security technique to protect online email and other services from being abused by bots.
This document provides an overview of CAPTCHA systems. It begins with defining CAPTCHA as a test used to differentiate humans from bots. It then discusses the different types of CAPTCHAs, including text, image, audio, video, and puzzle-based CAPTCHAs. The document outlines the design principles, process flow, generation process and working of CAPTCHAs. It also discusses the algorithmic process, applications, drawbacks and issues in designing CAPTCHAs. In conclusion, it emphasizes that security is important for web applications and CAPTCHAs provide a potential method for securing websites against bot attacks.
The document discusses CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart). It provides a brief history of CAPTCHAs, describes different types including text, graphics, and audio-based CAPTCHAs. Applications of CAPTCHAs include preventing automated actions on email services and dictionary attacks. The document also covers processes used in CAPTCHAs, techniques for breaking CAPTCHAs, improvements like reCAPTCHA, potential benefits and drawbacks.
The document discusses the opportunities presented by bots, including high demand from companies, the ability to create more natural experiences for users on messaging apps, and simpler deployment and updating than traditional apps. It provides an overview of the typical architecture of a bot, including components like the Bot Builder SDK, LUIS, and the Developer Portal. Several use cases for bots are presented, such as managing cloud resources from Skype, handling customer service, and acting as knowledgeable assistants. Guidelines for creating effective bots focus on solving users' needs with minimal effort and guiding users to discover what the bot can do.
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
The document presents a new CAPTCHA technique based on identifying an image's upright orientation. This task is difficult for computers but easy for humans. Candidate images are filtered to remove those that computers can automatically orient upright. A social feedback mechanism is then used to verify the remaining images have an orientation humans can recognize. Experiments showed this technique achieves high success rates for humans and low rates for bots, without requiring text entry.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
2. Goals of HCI
• The principal objective of HCI is to develop functional systems that are usable,
safe, and efficient for end-users.
• The developer community can achieve this goal by fulfilling the
following criteria:
❑ Have sound knowledge of how users use computing systems.
❑ Design methods, techniques, and tools that allow users to access systems
based on their needs.
❑ Adjust, test, refine, validate, and ensure that users achieve effective
communication or interaction with the systems.
❑ Always give priority to end-users and lay the robust foundation of HCI.
3. Limitations on interactive performance
There are several factors that can limit the speed of an
interactive system:
• Computation bound
• Storage channel bound
• Graphics bound
• Network capacity
4. Interaction Styles
• Interaction can be seen as a dialog between the computer and the user. The
choice of interface style can have a profound effect on the nature of this
dialog.
• 1- Command line interface
It provides a means of expressing instructions to the computer directly,
using function keys, single characters, abbreviations or whole-word
commands. In some systems the command line is the only way of
communicating with the system, especially for remote access using telnet.
• 2- Menus
In a menu-driven interface, the set of options available to the user is
displayed on the screen, and selected using the mouse, or numeric or
alphabetic keys. Since the options are visible they are less demanding of the
user, relying on recognition rather than recall.
5. Interaction Styles
• 3- Natural language
The ambiguity of natural language makes it very difficult for a machine to
understand.
We often rely on the context and our general knowledge to sort out these
ambiguities. This information is difficult to provide to the machine.
It is important in interfaces which use natural language in this restricted form
that the user is aware of the limitations of the system and does not expect too
much understanding.
4.Question/answer and query dialog
Question and answer dialog is a simple mechanism for providing input to an
application in a specific domain. These interfaces are easy to learn and use, but
are limited in functionality and power. As such, they are appropriate for
restricted domains (particularly information systems) and for novice or casual
users.
6. Interaction Styles
• 5.Form-fills and spreadsheets
• The user works through the form, filling in appropriate values. The data are
then entered into the application in the correct place. Most form-filling
interfaces allow easy movement around the form and allow some fields to be
left blank.
• 6.The WIMP interfaces
• WIMP stands for windows, icons, menus and pointers (sometimes windows,
icons, mice and pull-down menus), and is the default interface style for the
majority of interactive computer systems in use today.
• 7.Point-and-click interfaces
• virtually all actions take only a single click of the mouse button. You may point
at a city on a map and when you click a window opens, showing you tourist
information about the city.
7. Interaction Styles
• 8.Three-dimensional interfaces
• The most obvious example is virtual reality, but VR is
only part of a range of 3D techniques available to the
interface designer.
• The simplest technique is where ordinary WIMP
elements, buttons, scroll bars, etc., are given a 3D
appearance using shading, giving the appearance of
being sculpted out of stone.
8. CAPTCHA and Human Interaction
• CAPTCHA, Completely Automated Public Turing Test to tell Computers
and Humans Apart, is widely used as a security mechanism to classify
human and computer.
• This security mechanism is based on the Turing Test, which has been
conceived to ensure network security.
• Usability is another fundamental issue, which can avoid human users
proceeding tedious and time-consuming operation.
• CAPTCHA design should consider security and usability simultaneously.
• CAPTCHA ,also called HIPs (Human Interaction Proofs) , is a test to classify
human users and computer.
9.
10. CAPTCHA and Human Interaction
The idea of CAPTCHA is derived from the Turing test ,however it is different from
Turing test in three folds:
• Firstly, the generating and scoring of CAPTCHAS are finished by machine
automatically;
• Secondly, the purpose of designing CAPTCHA is to identify the difference between
human and computer, instead of avoid distinguishing;
• Thirdly, CAPTCHA is a kind of security mechanism, while most Turing tests are
used as an indicator to reflect the progress of AI. Therefore, CAPTCHA is usually
regarded as a kind of Reverse Turing test for humans and computer classification.
11. CAPTCHA and Human Interaction
Examples:
• CAPTCHA: x9Pm72se
• Input: x9Pm62es
• Output: CAPTCHA Not Matched
• CAPTCHA: cF3yl9T4
• Input: cF3yl9T4
• Output: CAPTCHA Matched
12. CAPTCHA and Human Interaction
• The set of characters to generate CAPTCHA are stored in a
character array chrs[ ] which contains (a-z, A-Z, 0-9), therefore
size of chrs[ ] is 62.
• To generate a unique CAPTCHA every time, a random number is
generated using rand() function which generates a random
number between 0 to 61 saved to the character array chrs[ ]
• This loop runs n (length of CAPTCHA) times to generate
CAPTCHA of given length.
13. History of CAPTCHA
• Around 1997, AltaVista (a primitive search engine of that decade) was having
a tough time fixing the high number of auto URL assets that were hampering
its website ranking process severely.
• To solve this issue, the chief scientist of AltaVista, created an algorithm that
later became famous as CAPTCHA.
• The algorithm was capable of introducing a series of autogenerated and
random images with printed text. The algorithm was based on the hypothesis
that if these surge URLs are created by a bot or computer, CAPTCHA can stop
them from visiting the website as they won’t be able to identify the images.
• In 2016, Jason Polakis, worked on the difficulty level of CAPTCHA and figured
out that the algorithm is so complex that even humans can fail to recognize
the images. That makes it tougher for bots as well as and computers. Hence,
it’s considered a viable tool to control undesirable website access.
•
14. How does CAPTCHA work
• Customers should separate letters in exemplary CAPTCHAs.
• The letters are misshaped with the target that bots are not committed
to have the choice to recollect them.
• clients need to interpret the twisted substance, type the right letters
into a plan field, and present the development.
• Such tests are standard in login structures, account information
exchange structures, online audits, and web business checkout pages.
• The best that different bots will truly have to do is input some irregular
letters, making it really dubious that they will finish the assessment. In
this way, bots bomb the test and are hindered from partner with the
site or application, while people can keep on utilizing it like common.
15. Advantages of CAPTCHA
Using CAPTCHA is preferred because:
• It’s highly worthwhile to discourage spam and unwanted
access.
• It can stop fake and ill-intended website access or usage.
• CAPTCHAs are an easy way to improve the website’s
accessibility.
• For human minds, making sense of CAPTCHA is easy.
16. Disadvantages of CAPTCHA
• Don’t consider CAPTCHA as a foolproof tool as it’s not. It’s most effective for
spam.
• Solving CAPTCHA needs time and effort, which is not feasible for every
website user. Some might even drop the idea of visiting a website if it uses
CAPTCHA. Hence, it might lead to a certain drop in website traffic
• CAPTCHAs are not suitable for visually impaired users. So, you won’t be able
to target such users if you use CAPTCHA.
17. Types of CAPTCHA
a) Text CAPTCHAs
• The most standard kind of check is text CAPTCHAs.
• These characters are shown in an odd style by the CAPTCHA, requiring
translation.
Strategies for making text-based CAPTCHAs include:
• Gimpy
• EZ-Gimpy
• Gimpy-r
• Simard's HIP
18. • Gimpy
• The gimpy selects a handful of emotionally charged words from a
rundown of 850 words and conveys them in an unusual manner.
19. • EZ-Gimpy
• It's an assortment of Gimpy that just utilizes a single word.
20. • Gimpy-r
• This picks reassuring letters, then bends and embellishes them
with foundation discontent.
21. • Simard's HIP
• This method picks alphabets and numerals at random and then
alters them with curves and shadings.
22. b) Image CAPTCHA
• A few photographs of ordinary things are compared. The customer should feature
which photographs have all the earmarks of being the most significant or show which
ones tackle a semantic issue.
• picture-based CAPTCHAs give preferred security over text-based cycles.
23. c) Audio CAPTCHA
• Audio CAPTCHA is a reverse Turing test to discriminate the user as
human or bot using audio as a medium. As W3C guidelines mandate
the need of accessibility of web for people with disabilities like visual
or motor impairment, audio CAPTCHA
24. • D) Math or verbal problems
• CAPTCHAs are also used in the same way as enrollment tries are. They
incorporate exercises errands and general information requests.
25. • reCAPTCHA Definition
reCAPTCHA is a more advanced version of the standard CAPTCHA tests. Some
reCAPTCHAs, like CAPTCHA, require consumers to submit images of text that PCs have
difficulty interpreting. Unlike traditional CAPTCHAs, reCAPTCHA gets its content from real
images: photographs of street addresses, text from printed books, text from historical
newspapers, and so on.
26. CAPTCHA VS.reCAPTCHA
• A CAPTCHA is a test designed to differentiate between real human users and
malicious bots. ReCAPTCHA is a CAPTCHA system developed by Google.
• A CAPTCHA is any website authentication test designed to tell humans and
computers apart. There are several types of CAPTCHAs owned by different
companies/providers. ReCAPTCHA is Google’s popular CAPTCHA service, used
for basic bot protection and other purposes. For example, Google used images
from scanned books to help digitize The New York Times archives and books
from Google Books.
• Advanced bots threaten all websites that rely on traditional CAPTCHAs alone to
keep cybercriminals at bay. Businesses can keep their platforms safe by using
an integrated CAPTCHA built into a sophisticated and personalized bot
protection solution.