Injection attack detection method based on gating cycle unit and attention mechanism

The invention discloses an injection attack detection method based on a gating loop unit and an attention mechanism, and the method is characterized in that the method comprises the following steps: step 1, extracting a statement related to a database in the Internet as a sample; preprocessing each sample, and obtaining a category label of each sample; step 2, inputting a result after sample preprocessing into an injection attack detection model, and predicting a category label corresponding to the result; wherein the injection attack detection model comprises an activation layer, a gating cycle unit layer, an attention mechanism layer and an output layer which are connected in sequence; step 3, training an injection attack detection model based on the sample data; and step 4, for a to-be-detected statement, preprocessing the to-be-detected statement, and inputting a preprocessing result into the trained injection attack detection model to obtain a category label of the to-be-detectedstatement, thereby judgin