This disclosure relates to the field of
artificial intelligence technology, and in particular provides a cloud PC mining detection method and
system based on supervised classification. The method includes collecting
system-level
resource utilization data of each
virtual machine (VM) in a cloud PC cluster within a preset time period; extracting features from the collected
system-level and process-level
resource utilization data to construct a multi-dimensional
feature vector characterizing the behavior patterns of the VMs; the multi-dimensional
feature vector includes at least statistical features and fluctuation features of system-level
resource utilization, as well as statistical features and fluctuation features of process-level resource utilization; based on the multi-dimensional feature vectors of known mining and normal cloud PC samples, for the VM to be detected,
data acquisition and
feature engineering steps are performed to obtain its multi-dimensional
feature vector, improving the quality and efficiency of detecting illegal VMs and effectively ensuring the adaptability of the optimized method.