Artificial Intelligence
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How does a captcha work


A CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is a method used to determine whether a user is a human or a machine. Here’s how it typically works: 1. **Challenge Generation**: When a user accesses a website that employs a CAPTCHA, the system generates a challenge that is easy for humans to solve but difficult for automated bots. Common types of challenges include: - **Text-based CAPTCHAs**: Users must identify and input distorted letters or numbers from an image. - **Image recognition**: Users may be asked to select certain images that fit a specified criterion (e.g., images with cars, street signs, etc.). - **Audio CAPTCHAs**: Users listen to a sequence of spoken characters or words and type them out. 2. **User Interaction**: The user attempts to solve the challenge presented. This typically requires cognitive skills that machines struggle with, such as pattern recognition, understanding context, or interpreting visual information. 3. **Response Verification**: Once the user submits their answer, the server checks the response against the correct answer stored on the server. If the response matches, the user is granted access, while an incorrect response may prompt the user to try again. 4. **Data Collection**: Some CAPTCHAs also gather data about the user's interaction history (like mouse movements or keystroke patterns) to further verify whether they are human. 5. **Adaptation and Evolution**: CAPTCHAs adapt over time to respond to advances in machine learning and bot capabilities. For example, newer systems like Google’s reCAPTCHA v2 and v3 may use behavioral analysis instead of traditional challenges, evaluating user behavior patterns to assess whether they're human without requiring explicit interaction. Overall, CAPTCHAs play a vital role in online security, protecting websites from spam, automated abuse, and various forms of cyber attacks. However, they can also cause accessibility issues, and efforts are now being made to create more user-friendly alternatives.