Research Article
Network Intrusion Detection Method Based on Multi-Scale CNN in Internet of Things
Table 1
Composition and parameters of M-CNN.
| No | Network layer | Size (depth) | Step (stride) | Filling method |
| L1 | Input layer | 12 ∗ 12 ∗ 2 | — | — | M2 | M-module | 128 | S = 1 | Same | C3 | Conv layer | 3 ∗ 3 ∗ 128 | S = 1 | Same | M4 | M-module | 256 | S = 2 | Same | C5 | Conv layer | 3 ∗ 3 ∗ 256 | S = 2 | Same | M6 | M-module | 512 | S = 2 | Same | C7 | Conv layer | 3 ∗ 3 | S = 4 | Same | F8 | Gap layer | — | — | — | R9 | Reshape layer | — | — | — | D10 | LSTM layer | 128 | — | — | F11 | Full connection layer | 15 | — | — |
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