Indian Journal of Automation and Artificial Intelligence

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A Novel Approach for Feature Selection Technique in NSL-KDD Data Set of Cyber Security


Affiliations
1 SSSUTMS, Bhopal, M.P., India
2 PVPSIT, Vijayawada, A.P., India
 

Background/Objectives: To design the best and worst solution and also to minimise false alarm rate and maximize the detection rate by using AJO

Methods/Statistical analysis: The Adaptive Jaya Optimization (AJO) technique is used to select best features among 41 features.

Findings: The intrusion detection work focuses on feature selection, because few of the features are inappropriate and additional which results prolonged detection procedure and diminishes the performance of an intrusion detection system (IDS). With AJO technique best 17 features were selected to have best accuracy.

Application: In this study the NSL-KDD data set is analysed and applied Adaptive Jaya Technique for selecting best features to minimize low false alarm rate & maximize detection rate.


Keywords

Intrusion Detection System, NSL-KDD Dataset, Feature Selection, Adaptive Jaya Optimization.
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Abstract Views: 347

PDF Views: 174




  • A Novel Approach for Feature Selection Technique in NSL-KDD Data Set of Cyber Security

Abstract Views: 347  |  PDF Views: 174

Authors

Thupakula Bhaskar
SSSUTMS, Bhopal, M.P., India
Tryambak Hiwarkar
SSSUTMS, Bhopal, M.P., India
K. Ramanjaneyulu
PVPSIT, Vijayawada, A.P., India

Abstract


Background/Objectives: To design the best and worst solution and also to minimise false alarm rate and maximize the detection rate by using AJO

Methods/Statistical analysis: The Adaptive Jaya Optimization (AJO) technique is used to select best features among 41 features.

Findings: The intrusion detection work focuses on feature selection, because few of the features are inappropriate and additional which results prolonged detection procedure and diminishes the performance of an intrusion detection system (IDS). With AJO technique best 17 features were selected to have best accuracy.

Application: In this study the NSL-KDD data set is analysed and applied Adaptive Jaya Technique for selecting best features to minimize low false alarm rate & maximize detection rate.


Keywords


Intrusion Detection System, NSL-KDD Dataset, Feature Selection, Adaptive Jaya Optimization.

References