Verification code is very troublesome. Is there a substitute?

It is suggested to use google Recaptcha, a new solution developed by Google 20 14 to replace the verification code, and judge whether it is a robot or a human behavior by observing the user's mouse movement trajectory. Recaptcha, at present, the most widely used to distinguish between computing programs and humans is the login and registration verification of websites. Verification code verification system has been widely used, but it is obviously annoying: it requires users to input distorted text or numbers to prevent malicious login and registration of software. Another serious defect of captcha is that many hackers have been able to crack this method. Therefore, people began to introduce images and use image matching as a verification method: for example, given a photo of a cat, you are required to choose a similar photo from a row of animal photos. This is very difficult for computing programs, so it can be used to distinguish malware. However, this method is not simple enough. Google patted his forehead, the most convenient and simple way is to click without a mouse. Human behavior contains a lot of valuable information, especially in the digital environment. Google says it also makes judgments through many other clues, so as to intercept more machine software in a better secret way-but making these methods public will make zombie hosts learn and improve malicious attacks, which is not good for the verification system. Currently, websites such as Snapchat, WordPress and Humble Bundle are testing the new version of Google's verification code. Google claims that 60% of WordPress traffic and 80% of Humble Bundle traffic passed reCAPTCHA and were directly judged as human, which greatly improved the user experience. For mobile terminals of smartphones and tablets, Google still uses the verification method of image matching for the time being. In fact, Google has been doing research in this area for a long time: in many pay-per-click website advertisements, similar anti-fraud methods have been needed for a long time to prevent malicious clicks by machines. It is said that this automatic discrimination calculation and manual detection method began to be integrated into the verification system of verification code at least in 20 13 years. This Valentine's Day, Google launched a test experiment to show users simple and clear words such as "love" and "flower". The system can judge whether malicious programs have obtained font content through image recognition technology, thus intercepting machine users.