Network data flow anomaly detection method and system based on ChatGPT knowledge enhancement

The invention relates to a network data flow anomaly detection method and system based on ChatGPT knowledge enhancement, and the method comprises the steps: carrying out the knowledge enhancement processing based on ChatGPT on an obtained streaming network data set, obtaining the domain knowledge of the domain where the streaming network data set is located, and obtaining the maximum value and the minimum value of data features in the domain knowledge; based on the relationship between the current data rate and the ideal rate, determining the length of a next interval self-adaptive sliding window to obtain an interval self-adaptive sliding window; the maximum value and the minimum value of the characteristics of the domain knowledge are fused into normalization, the whole streaming network data are input into an interval self-adaptive sliding window to be normalized, normalized data points of the current window are obtained, and the normalized data points of the current window are input into a data anomaly de