Summary An Empirical Study Evaluation of Modern CAPTCHAs arxiv.org
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The study examined various CAPTCHAs and discovered that participants had varying preferences, likely influenced by advancements in computer vision and machine learning, with some CAPTCHAs incorporating masking and game-based elements.
Slides
Slide Presentation (13 slides)
Key Points
- CAPTCHAS have evolved over time due to advances in computer vision and machine learning.
- Preferences for different types of CAPTCHAs vary among users.
- Different types of CAPTCHAs are used on various websites, including masking, game-based, hCAPTCHA, and invisible CAPTCHAs.
- The study focused on mainstream websites and did not include special-purpose CAPTCHAs.
- Participants in a study showed a preference for CAPTCHAs with lower solving times, but game-based and slider-based CAPTCHAs received high preference scores despite longer solving times.
- Difficulty level did not significantly impact the accuracy of image classification in reCAPTCHA.
- Game-based CAPTCHAs, such as senCAPTCHA, are generally preferred over text and image-based CAPTCHAs.
- There are various studies and reports evaluating the effectiveness and vulnerabilities of different types of CAPTCHAs.
Summaries
30 word summary
A study evaluated different types of CAPTCHAs and found marked differences in preferences among participants, due to advancements in computer vision and machine learning. Certain CAPTCHAs used masking, game-based CAPTCHAs.
35 word summary
CAPTCHAs have evolved over time due to advancements in computer vision and machine learning. A study evaluated different types of CAPTCHAs and found marked differences in preferences among participants. Certain CAPTCHAs used masking, game-based CAPTCH
520 word summary
CAPTCHAS, which are used to prevent bots from interacting with websites, have evolved over time due to advances in computer vision and machine learning. It is important to understand how long it takes for legitimate users to solve current CAPTCHAS and
Participants in a study were asked to rate different types of CAPTCHAs on a Likert scale. The results showed marked differences in preferences, with average scores ranging from 2.76 to 3.94. However, solving time was not
Certain CAPTCHAS used masking, game-based CAPTCHAS appeared on 9 websites, hCAPTCHA appeared on 1 website, and invisible CAPTCHAS were found on 12 websites. Other CAPTCHAS included a scratch
The study inspected the top 200 websites to identify prevalent CAPTCHA types. Results represent a lower bound and may change over time. The study focused on mainstream websites and did not include special-purpose CAPTCHAS. The identified CAPTCHA types were considered
To conduct a study on CAPTCHAs, the researchers set up their own server to serve distorted text CAPTCHAs since these are usually hosted by websites themselves. They downloaded 1,000 unique distorted text CAPTCHAs and stored them
Confounding factors may have affected the comparison between direct and contextualized settings in the study. Participants in the contextualized setting had to do more work, potentially reducing their attention and focus. Compensation and participants' perceived benefit of completing the task may have influenced
Participants in a study showed a preference for CAPTCHAs with lower solving times, although game-based and slider-based CAPTCHAs received high preference scores despite longer solving times. No CAPTCHA type was universally liked or disliked. In a direct vs
Our empirical study evaluated the accuracy and user abandonment rates of various CAPTCHA types. We found that the difficulty level did not significantly impact the accuracy of image classification in reCAPTCHA, with accuracy rates of 81% and 81.7% on
Game-based CAPTCHAs, such as senCAPTCHA, are generally preferred over text and image-based CAPTCHAs. A user study found that distorted text CAPTCHAs had solving times ranging from 9 to 15 seconds, similar
This excerpt provides a list of references and links to various sources related to CAPTCHAs and internet measurement activities. The references include guidelines for internet measurement activities, websites that use CAPTCHAs, surveys on breaking text-based CAPTCHAs,
This excerpt includes references and links to various sources related to CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart). The mentioned sources include a study on a mobile-first CAPTCHA using orientation sensors, hCaptcha as the largest independent
This excerpt contains a list of references and sources cited in the document "An Empirical Study Evaluation of Modern CAPTCHAs." The references include various studies, papers, and websites related to the topic of CAPTCHAs and their vulnerabilities. Some
This summary provides an overview of various studies and reports related to CAPTCHAs. The studies evaluate the effectiveness and vulnerabilities of different types of CAPTCHAs, including text-based, image-based, and audio-based CAPTCHAs. Researchers have
This text excerpt contains a list of references and tables from a study evaluating different CAPTCHA types. The references include sources that discuss the security and usability challenges of CAPTCHAs, as well as different techniques for generating CAPTCHAs. The tables