Random Forest for Intrusion Detection of Cloud Manufacturing Platform
Xueli Guo, Huiping Huang, Xiangyin Meng · 2021
To keep the cloud manufacturing platform away from cyber attacks and effectively deal with malicious data in a complex network environment, machine learning algorithm has been used to establish an intrusion detection model. The random forest algorithm is used for model training, and then the test set is used to verify the accuracy of the model. Experiments show that the model can reach an F1-score of 0.941 when detecting intrusion data.