Method and system for preventing DDoS attack based on artificial intelligence

The invention relates to a DDoS attack prevention method and system based on artificial intelligence, and belongs to the technical field of computer security. The method comprises the following steps: configuring necessary information of a system, a user behavior set and user behavior attributes; performing real-time monitoring and collection on the currently generated user behavior data to obtain current user behavior data; performing user grouping model training on the user behavior data in the user behavior set through an artificial intelligence K-Means clustering algorithm to obtain a user behavior model; performing Jaccard similarity coefficient calculation on the currently acquired user behavior data and the user behavior model, and judging whether the behavior of the current user IP is a DDoS attack behavior or not; and carrying out anti-attack processing on the identified and pushed user IP. According to the method, the artificial intelligence K-Means clustering algorithm and Jaccard similarity coeffi