Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection

2019 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/iccnc.2019.8685636 ◽

2019 ◽

Cited By ~ 3

Author(s):

Fadi Salo ◽

MohammadNoor Injadat ◽

Abdallah Moubayed ◽

Ali Bou Nassif ◽

Aleksander Essex

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Selection For

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Optimal feature selection for machine learning based intrusion detection system by exploiting attribute dependence

Materials Today Proceedings ◽

10.1016/j.matpr.2021.04.643 ◽

2021 ◽

Author(s):

Ghanshyam Prasad Dubey ◽

Dr. Rakesh Kumar Bhujade

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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On the Performance of GRASP-Based Feature Selection for CPS Intrusion Detection

IEEE Transactions on Network and Service Management ◽

10.1109/tnsm.2021.3088763 ◽

2021 ◽

pp. 1-1

Author(s):

Silvio E. Quincozes ◽

Daniel Mosse ◽

Diego Passos ◽

Celio Albuquerque ◽

Luiz Satoru Ochi ◽

...

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Selection For

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Feature selection for intrusion detection systems

2020 13th International Symposium on Computational Intelligence and Design (ISCID) ◽

10.1109/iscid51228.2020.00065 ◽

2020 ◽

Author(s):

Firuz Kamalov ◽

Sherif Moussa ◽

Rita Zgheib ◽

Omar Mashaal

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection Systems ◽

Detection Systems ◽

Selection For

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Ant Colony Optimization and Feature Selection for Intrusion Detection

Lecture Notes in Electrical Engineering - Advances in Machine Learning and Signal Processing ◽

10.1007/978-3-319-32213-1_27 ◽

2016 ◽

pp. 305-312 ◽

Cited By ~ 4

Author(s):

Tahir Mehmod ◽

Helmi B. Md Rais

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Ant Colony Optimization ◽

Ant Colony ◽

Selection For

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Ensemble Feature Selection for Improving Intrusion Detection Classification Accuracy

Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science - AICS 2019 ◽

10.1145/3349341.3349364 ◽

2019 ◽

Cited By ~ 1

Author(s):

Wenhao He ◽

Hongjiao Li ◽

Jinguo Li

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Classification Accuracy ◽

Selection For

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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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Feature selection for intrusion detection using new multi-objective estimation of distribution algorithms

Applied Intelligence ◽

10.1007/s10489-019-01503-7 ◽

2019 ◽

Vol 49 (12) ◽

pp. 4237-4257 ◽

Cited By ~ 5

Author(s):

Sofiane Maza ◽

Mohamed Touahria

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Estimation Of Distribution Algorithms ◽

Multi Objective ◽

Estimation Of Distribution ◽

Selection For ◽

Distribution Algorithms

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Correlation-Based Feature Selection for Intrusion Detection Design

MILCOM 2007 - IEEE Military Communications Conference ◽

10.1109/milcom.2007.4454806 ◽

2007 ◽

Cited By ~ 14

Author(s):

Te-Shun Chou ◽

Kang K. Yen ◽

Jun Luo ◽

Niki Pissinou ◽

Kia Makki

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Correlation Based Feature Selection ◽

Selection For

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Sequential Pattern Mining for Intrusion Detection System with Feature Selection for MANETS

Asian Journal of Research in Social Sciences and Humanities ◽

10.5958/2249-7315.2017.00100.9 ◽

2017 ◽

Vol 7 (2) ◽

pp. 428

Author(s):

A Fidalcastro ◽

E Baburaj

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Pattern Mining ◽

Detection System ◽

Sequential Pattern Mining ◽

Sequential Pattern ◽

Selection For

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Hybrid feature selection for supporting lightweight intrusion detection systems

Journal of Physics Conference Series ◽

10.1088/1742-6596/887/1/012031 ◽

2017 ◽

Vol 887 ◽

pp. 012031 ◽

Cited By ~ 1

Author(s):

Jianglong Song ◽

Wentao Zhao ◽

Qiang Liu ◽

Xin Wang

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection Systems ◽

Detection Systems ◽

Selection For

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