A tree-based stacking ensemble technique with feature selection for network intrusion detection

Applied Intelligence ◽

10.1007/s10489-021-02968-1 ◽

2022 ◽

Author(s):

Mamunur Rashid ◽

Joarder Kamruzzaman ◽

Tasadduq Imam ◽

Santoso Wibowo ◽

Steven Gordon

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Ensemble Technique ◽

Network Intrusion ◽

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Bootstrap-based homogeneous ensemble feature selection for network intrusion detection system

Developments of Artificial Intelligence Technologies in Computation and Robotics ◽

10.1142/9789811223334_0004 ◽

2020 ◽

Author(s):

Yeshalem Gezahegn Damtew ◽

Hongmei Chen ◽

Burhan Mohi Yu Din

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Network Intrusion ◽

Network Intrusion Detection System ◽

Selection For ◽

Homogeneous Ensemble

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Linear Correlation-Based Feature Selection for Network Intrusion Detection Model

Communications in Computer and Information Science - Advances in Security of Information and Communication Networks ◽

10.1007/978-3-642-40597-6_21 ◽

2013 ◽

pp. 240-248 ◽

Author(s):

Heba F. Eid ◽

Aboul Ella Hassanien ◽

Tai-hoon Kim ◽

Soumya Banerjee

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Linear Correlation ◽

Network Intrusion Detection ◽

Detection Model ◽

Network Intrusion ◽

Correlation Based Feature Selection ◽

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Improved Incremental Support Vector Machine with Hybrid Feature Selection for Network Intrusion Detection

2013 International Conference on Information and Network Security (ICINS 2013) ◽

10.1049/cp.2013.2450 ◽

2013 ◽

Author(s):

Xiaocong Zhou ◽

Yang Yi ◽

Dongling Luo

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Support Vector ◽

Network Intrusion ◽

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Hybrid Feature Selection for Network Intrusion Detection Using Data Mining

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.10.05.2020.p101110 ◽

2020 ◽

Vol 10 (05) ◽

pp. 929-936

Author(s):

V Manikandan ◽

S Karthikeyan ◽

T Bhuvaneswari

Keyword(s):

Data Mining ◽

Feature Selection ◽

Intrusion Detection ◽

Network Intrusion Detection ◽

Network Intrusion ◽

Selection For ◽

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Filter Versus Wrapper Feature Selection for Network Intrusion Detection System

2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) ◽

10.1109/icicis46948.2019.9014797 ◽

2019 ◽

Author(s):

Mahmoud M. Sakr ◽

Medhat A. Tawfeeq ◽

Ashraf B. El-Sisi

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Network Intrusion ◽

Network Intrusion Detection System ◽

Selection For ◽

Wrapper Feature Selection

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Feature selection for network intrusion detection based on quantum evolutionary algorithm

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.01357 ◽

2013 ◽

Vol 33 (5) ◽

pp. 1357-1361

Author(s):

Zongfei ZHANG

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Evolutionary Algorithm ◽

Network Intrusion Detection ◽

Network Intrusion ◽

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Firefly algorithm based feature selection for network intrusion detection

Computers & Security ◽

10.1016/j.cose.2018.11.005 ◽

2019 ◽

Vol 81 ◽

pp. 148-155 ◽

Author(s):

Selvakumar B ◽

Muneeswaran K

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Firefly Algorithm ◽

Network Intrusion Detection ◽

Network Intrusion ◽

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A Feature Selection Approach for Network Intrusion Detection Based on Tree-Seed Algorithm and K-Nearest Neighbor

2018 IEEE 4th International Symposium on Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS) ◽

10.1109/idaacs-sws.2018.8525522 ◽

2018 ◽

Author(s):

Feng Chen ◽

Zhiwei Ye ◽

Chunzhi Wang ◽

Lingyu Yan ◽

Ruoxi Wang

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Nearest Neighbor ◽

Network Intrusion Detection ◽

K Nearest Neighbor ◽

Network Intrusion ◽

Selection Approach ◽

Feature Selection Approach ◽

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A Naive Feature Selection Method and Its Application in Network Intrusion Detection

2010 International Conference on Computational Intelligence and Security ◽

10.1109/cis.2010.96 ◽

2010 ◽

Author(s):

Tieming Chen ◽

Xiaoming Pan ◽

Yiguang Xuan ◽

Jixia Ma ◽

Jie Jiang

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Feature Selection Method ◽

Selection Method ◽

Network Intrusion Detection ◽

Network Intrusion

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Influence Analysis of Feature Selection to Network Intrusion Detection System Performance Using NSL-KDD Dataset

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) ◽

10.1109/icomitee.2019.8920961 ◽

2019 ◽

Author(s):

Lukman Hakim ◽

Rahilla Fatma ◽

Novriandi

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

System Performance ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection ◽

Influence Analysis ◽

Network Intrusion ◽

Network Intrusion Detection System

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