Power Grid Dispatching Data Identification Method Based on Deep Packet Detection

It is difficult for the conventional data identification model to interconnect with the open system, and the identification deviation cannot be controlled, resulting in the gradual increase of the false alarm rate. Therefore, the research and verification of the power grid dispatching data identification method based on deep packet detection are proposed. According to an identification standard, dynamically mark and screen the abnormal data in the process and then mark a model identification position according to the obtained identification characteristics. It interconnects a deep packet inspection program with an open system, reduces the control range and the identification deviation, realizes the design of a deep packet inspection data identification model, and finally carries out secondary identification of the data. And that data identification is completed by adopting a depth parallel correction method. The final test results show that the final false alarm rate of the designed deep packet detection power grid dispatching data identification test group is relatively low, which is better controlled below 10%, which indicates that in the process of practical application, the identification deviation of the power grid dispatching data is low. The pertinence is stronger, and the time consumed is greatly reduced, which has practical application significance.