Research Article
Network Traffic Anomaly Detection Based on ML-ESN for Power Metering System
Table 3
The statistics of the training dataset.
| ID | Type | Number of packets | Size (MB) |
| 1 | Normal | 56000 | 3.63 | 2 | Analysis | 1560 | 0.108 | 3 | Backdoors | 1746 | 0.36 | 4 | DoS | 12264 | 2.42 | 5 | Exploits | 33393 | 8.31 | 6 | Fuzzers | 18184 | 4.62 | 7 | Generic | 40000 | 6.69 | 8 | Reconnaissance | 10491 | 2.42 | 9 | Shellcode | 1133 | 0.28 | 10 | Worms | 130 | 0.044 |
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