Security and Communication Networks / 2019 / Article / Tab 4

Research Article

VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

Table 4

A comparison between the VHDRA vertical reduction and the other existing approaches.

Binary class Triple class Multiclass
Size: 81,664 MB, 128 featuresSize: 81,669 MB, 128 features Size: 78,963 MB, 128 features

ApproachNo. of featuresDetection rate (%)No. of featuresDetection rate (%)No. of featuresDetection rate (%)

VHDRA (PSO+ EPA)15 99.21 14 98.91 18 97.03
(9.57MB) EPA Accu. gain:0.83(8.93MB) EPA Accu. gain:0.90(11.10MB) EPA Accu. gain: 3.0

VHDRA (PSO)1798.381998.012294.03
(10.85MB)(12.12MB)(13.57MB)

NNGE (CFS)2894.682894.622887.77
(17.86MB)(17.91MB)(17.77MB)

IBL2897.201797.382892.10
(17.97MB)(10.87MB)(17.62MB)

J482893.692893.692884.45
(18.18MB)(17.96MB)(18.92MB)

Random Forest2896.772896.772890.41
(18.29MB)(18.20MB)(17.54MB)

JRip2891.202891.2212973.94