Research Article

A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features

Table 8

Performance comparison of classification algorithms on accuracy rate.

Classification AlgorithmsAverage accuracy (%)Feature selection method

C4.5 [6]99.11All features
98.69Genetic algorithm
98.84Best-first
99.41Correlation feature selection

BayesNet [6]99.53All features
99.52Genetic algorithm
98.91Best-first
98.92Correlation feature selection

ABC-SVM [7]92.768Binary ABC
PSO-SVM [7]83.88
GA-SVM [7]80.73

KNN [8]98.24All features
98.11Fast feature selection

Bayes Classifier [8]76.09All features
71.94Fast feature selection

ANN [9]81.57Feature reduction

SSO-RF [10, 11]92.7SSO

Hybrid SSO [12]97.67SSO

RSDT [13]97.88Rough set

ID3 [13]97.665All features
C4.5 [13]97.582

FC-ANN [14]96.71All features

Proposed MABC-EPSO88.59All features
99.32Single feature selection method
99.82Random feature selection method