Research Article

Anomaly Detection Collaborating Adaptive CEEMDAN Feature Exploitation with Intelligent Optimizing Classification for IIoT Sparse Data

Table 1

Training and test classification accuracies of CEEMDAN and EEMD decompositions under different attack powers.

Attack powerCEEMDANEEMD
Training accuracyTest accuracyTraining accuracyTest accuracy

196.0%86.5%92.5%81.5%
293.5%88.0%91.0%87.5%
391.0%90.0%92.0%88.5%
496.5%87.0%94.5%87.0%
598.5%93.5%91.5%88.0%
Average95.10%89.00%92.30%86.50%