Research Article
IoT-IE: An Information-Entropy-Based Approach to Traffic Anomaly Detection in Internet of Things
Table 1
Detection performance for individual devices.
| Algorithm | AE | TP | NC | CU | LX | Acc (%) | TPR (%) | FPR (%) | Acc (%) | TPR (%) | FPR (%) | Acc (%) | TPR (%) | FPR (%) | Acc (%) | TPR (%) | FPR (%) | Acc (%) | TPR (%) | FPR (%) |
| KNN | 98.5 | 97.0 | 0.0 | 98.9 | 98.7 | 0.4 | 96.8 | 95.3 | 1.6 | 94.6 | 91.0 | 1.7 | 99.6 | 99.2 | 0.0 | DT | 98.5 | 100.0 | 3.1 | 98.2 | 99.1 | 4.5 | 95.2 | 94.6 | 4.2 | 93.3 | 91.7 | 5.0 | 99.4 | 98.9 | 0.0 | RF | 99.5 | 99.0 | 0.0 | 99.4 | 99.4 | 0.4 | 96.5 | 95.1 | 2.1 | 94.2 | 92.0 | 3.6 | 99.4 | 100.0 | 1.2 | SVM | 100.0 | 100.0 | 0.0 | 99.1 | 99.0 | 0.4 | 97.5 | 96.5 | 1.6 | 94.3 | 91.1 | 2.5 | 99.4 | 99.2 | 0.4 | NB | 99.5 | 99.0 | 0.0 | 98.9 | 99.0 | 1.2 | 85.9 | 88.8 | 17.0 | 86.1 | 89.3 | 53.2 | 99.2 | 98.9 | 0.4 |
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