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 datasetTriple class datasetMulticlass
OrderFeature nameFitness value OrderFeature nameFitness valueOrderFeature nameFitness value

1R2-CPA19.21R1-VPA112.51relay1_log22.2

2R3-CPA111.12relay1_log13.22relay3_log25.3

3relay1_log12.53R1-CPM116.03R4-VPA229.1

4relay4_log13.84R2-VPA118.84R4-VPM233.6

5relay2_log17.15relay4_log18.95R4-VPA337.1

6relay3_log19.76R2-CPM122.06relay4_log42.5

7R1-VPA120.17R3-VPA126.37relay2_log49.8

8R4-CPA121.08R3-CPA129.48snort_log151.0

9snort_log328.59R3-CPM133.09snort_log255.3

10R1-CPA131.010relay2_log38.210R4-VPM159.3

11R2-VPA134.811R4-VPM139.011R2-CPA162.5

12R3-VPA135.212R4-CPA139.712R3-CPA164.0

13R4-CPM139.413R4-CPM141.313R2-VPA168.0

14R4-Power40.314R3-Power47.014R3-VPA169.4

15R3-Power41.015R2-Power50.415snort_log372.9

16R3-CPM142.916R1-CPA153.216R4-CPM173.3

17R2-Power43.817R4-VPA154.317R3-Power73.5

18R2-CPA157.018R1-VPA175.4

19relay3_log59.419R2-Power77.5

20R2-CPM179.5

21R4-Power80.0

22R3-CPM181.0