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== Protection against bots == In the case of academic surveys, protection against auto test taking bots is essential for maintaining accuracy and consistency in the results of the survey. Without proper precautions against these bots, the results of a survey can become skewed or inaccurate. Researchers indicate that the best way to keep bots out of surveys is to not allow them to enter to begin with. The survey should have participants from a reliable source, such as an existing department or group at work. This way, malicious bots don't have the opportunity to infiltrate the study. Another form of protection against bots is a CAPTCHA test as mentioned in a previous section, which stands for "Completely Automated Public Turing Test". This test is often used to quickly distinguish a real user from a bot by posing a challenge that a human could easily do but a bot would not. This could be something like recognizing distorted letters or numbers, or picking out specific parts of an image, such as traffic lights on a busy street. CAPTCHAs are a great form of protection due to their ability to be completed quickly, low effort, and easy implementation. There are also dedicated companies that specialize in protection against bots, including ones like DataDome, Akamai and Imperva. These companies offer defense systems to their clients to protect them against DDoS attacks, infrastructure attacks, and overall cybersecurity. While the pricing rates of these companies can often be expensive, the services offered can be crucial both for large corporations and small businesses.
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