Research Article
TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest
Table 2
Preprocessing results of the ISCX2012 dataset.
| Category | Count | Percentage | Training count | Testing count |
| Normal | 10000 | 28.28% | 6971 | 3029 | Infiltration | 9925 | 28.07% | 6930 | 2995 | BFSSH | 7042 | 19.92% | 4911 | 2131 | DDoS | 4963 | 14.04% | 3513 | 1450 | HttpDoS | 3427 | 9.69% | 2424 | 1003 | Total | 35357 | 100% | 24749 | 10608 |
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