Research on the Classification Method of Network Abnormal Data

As people use the network more and more and release more and more personal information to the Internet, it also caused the leakage of personal information. According to the above background, the optimization research on the classification detection method of network anomaly data was proposed. Correlation analysis was carried out for the conventional algorithm, and the related model was constructed. A new algorithm was proposed to detect the network anomaly data to improve the processing ability of the network anomaly data. The experimental data showed that the proposed network anomaly data classification detection optimization algorithm improved the processing range by 31% when processing abnormal data, and the efficiency of processing data was increased by 36%. It proved the effectiveness of the new method and provided a theoretical basis for the processing of future abnormal data.