Research Article
VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
Table 1
The most significant selected features fitness values in the binary, triple, and multiclass datasets.
| Binary class dataset | Triple class dataset | Multiclass | Order | Feature name | Fitness value | Order | Feature name | Fitness value | Order | Feature name | Fitness value |
| 1 | R2-CPA1 | 9.2 | 1 | R1-VPA1 | 12.5 | 1 | relay1_log | 22.2 |
| 2 | R3-CPA1 | 11.1 | 2 | relay1_log | 13.2 | 2 | relay3_log | 25.3 |
| 3 | relay1_log | 12.5 | 3 | R1-CPM1 | 16.0 | 3 | R4-VPA2 | 29.1 |
| 4 | relay4_log | 13.8 | 4 | R2-VPA1 | 18.8 | 4 | R4-VPM2 | 33.6 |
| 5 | relay2_log | 17.1 | 5 | relay4_log | 18.9 | 5 | R4-VPA3 | 37.1 |
| 6 | relay3_log | 19.7 | 6 | R2-CPM1 | 22.0 | 6 | relay4_log | 42.5 |
| 7 | R1-VPA1 | 20.1 | 7 | R3-VPA1 | 26.3 | 7 | relay2_log | 49.8 |
| 8 | R4-CPA1 | 21.0 | 8 | R3-CPA1 | 29.4 | 8 | snort_log1 | 51.0 |
| 9 | snort_log3 | 28.5 | 9 | R3-CPM1 | 33.0 | 9 | snort_log2 | 55.3 |
| 10 | R1-CPA1 | 31.0 | 10 | relay2_log | 38.2 | 10 | R4-VPM1 | 59.3 |
| 11 | R2-VPA1 | 34.8 | 11 | R4-VPM1 | 39.0 | 11 | R2-CPA1 | 62.5 |
| 12 | R3-VPA1 | 35.2 | 12 | R4-CPA1 | 39.7 | 12 | R3-CPA1 | 64.0 |
| 13 | R4-CPM1 | 39.4 | 13 | R4-CPM1 | 41.3 | 13 | R2-VPA1 | 68.0 |
| 14 | R4-Power | 40.3 | 14 | R3-Power | 47.0 | 14 | R3-VPA1 | 69.4 |
| 15 | R3-Power | 41.0 | 15 | R2-Power | 50.4 | 15 | snort_log3 | 72.9 |
| 16 | R3-CPM1 | 42.9 | 16 | R1-CPA1 | 53.2 | 16 | R4-CPM1 | 73.3 |
| 17 | R2-Power | 43.8 | 17 | R4-VPA1 | 54.3 | 17 | R3-Power | 73.5 |
| | | | 18 | R2-CPA1 | 57.0 | 18 | R1-VPA1 | 75.4 |
| | | | 19 | relay3_log | 59.4 | 19 | R2-Power | 77.5 |
| | | | | | | 20 | R2-CPM1 | 79.5 |
| | | | | | | 21 | R4-Power | 80.0 |
| | | | | | | 22 | R3-CPM1 | 81.0 |
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