Classification and Prediction of Network Abnormal Data Based on Machine Learning
Bin Ren, Ming Hu, Hui Yan, Ping Yu · 2019
Network abnormal data detection is the main method used for network security situational awareness. In order to reduce the false positives and false negatives of intrusion data, it is proposed to preprocess the data used for prediction by K-means method. In the data prediction, the method of feed forward neural network is adopted, and different loss functions are used to improve the accuracy of prediction and reduce the loss value, and obtain better experimental results.