Research Article
A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU-ODBN for IoT-Enabled Multimedia Communication Systems
Table 2
Performance analysis of proposed DWU-ODBN based on quality metrics.
| Performance metrics/techniques | ENN | CNN | SVM | DBN | Proposed DWU-ODBN |
| Accuracy | 92.14 | 91.51 | 94.84 | 93.26 | 97.34 | Specificity | 86.67 | 87.57 | 85.82 | 93.39 | 93.42 | Sensitivity | 89.69 | 90.48 | 85.54 | 91.62 | 95.61 | Precision | 92.37 | 90.62 | 87.63 | 95.83 | 97.43 | measures | 93.52 | 93.39 | 89.29 | 94.62 | 97.72 | FPR | 46.46 | 44.25 | 59.42 | 31.51 | 11.04 | FNR | 42.93 | 49.64 | 56.58 | 38.58 | 8.39 | MCC | 85.44 | 82.87 | 80.52 | 88.28 | 94.65 |
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