Abstract
With the rapid increase of web applications, the problem of XSS (cross-site scripting) attacks in Web applications is becoming more and more serious. In the face of more and more complex and changeable XSS attacks, the traditional XSS defense method cannot solve the problem of XSS security, inefficient and accurate recognition effect is poor. Therefore, this paper summarizes the method of XSS recognition based on the machine learning algorithm, classifies different machine learning algorithms according to the recognition strategy, analyzes their advantages and disadvantages, and finally looks forward to the development trend of XSS defense research, hoping to play a reference role for the following researchers.
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