Abstract
Web is an area of continuous development and innovation every year. It not only changes the way people deal with personal, social contact and business, but also ushers in new opportunities in the era of Internet. Network security develops rapidly. Web security also needs new methods to solve. Machine learning technology is used to detect attacks, and its algorithm model is used to predict attacks. This kind of method that can automatically update the module to adapt to the new attack can greatly reduce the manpower consumption. This paper sorts out the methods of mining typical web attack vulnerabilities using machine learning. The future development trend is given.
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