Towards scalable rough set based attribute subset selection for intrusion detection using parallel genetic algorithm in MapReduce

Simulation Modelling Practice and Theory ◽

10.1016/j.simpat.2016.01.010 ◽

2016 ◽

Vol 64 ◽

pp. 18-29 ◽

Author(s):

El-Sayed M. El-Alfy ◽

Mashaan A. Alshammari

Keyword(s):

Genetic Algorithm ◽

Intrusion Detection ◽

Rough Set ◽

Subset Selection ◽

Parallel Genetic Algorithm ◽

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Parallel genetic algorithm co-optimization of spectral pre-processing and wavelength selection for PLS regression

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2011.01.008 ◽

2011 ◽

Vol 107 (1) ◽

pp. 50-58 ◽

Author(s):

Olivier Devos ◽

Ludovic Duponchel

Keyword(s):

Genetic Algorithm ◽

Pls Regression ◽

Parallel Genetic Algorithm ◽

Wavelength Selection ◽

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Network Intrusion Detection Using Rough Sets Based Parallel Genetic Algorithm Hybrid Model

2010 International Symposium on Intelligence Information Processing and Trusted Computing ◽

10.1109/iptc.2010.165 ◽

2010 ◽

Author(s):

Fen Zhou ◽

Gaizhen Yang

Keyword(s):

Genetic Algorithm ◽

Intrusion Detection ◽

Hybrid Model ◽

Network Intrusion Detection ◽

Parallel Genetic Algorithm ◽

Network Intrusion

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Modified genetic algorithm based feature subset selection in intrusion detection system

IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005. ◽

10.1109/iscit.2005.1566787 ◽

2006 ◽

Author(s):

Yongxuan Zhu ◽

Xin Shan ◽

Jun Guo

Keyword(s):

Genetic Algorithm ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Modified Genetic Algorithm

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Gene Subset Selection for Cancer Classification Using Statsitical and Rough Set Approach

Swarm, Evolutionary, and Memetic Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-35380-2_35 ◽

2012 ◽

pp. 294-302 ◽

Author(s):

Asit Kumar Das ◽

Soumen Kumar Pati

Keyword(s):

Rough Set ◽

Subset Selection ◽

Cancer Classification ◽

Gene Subset ◽

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Feature selection for flow-based intrusion detection using Rough Set Theory

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) ◽

10.1109/icnsc.2017.8000162 ◽

2017 ◽

Author(s):

Frank Beer ◽

Ulrich Buhler

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Rough Set ◽

Rough Set Theory ◽

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Feature subset selection for intrusion detection using various rank-based algorithms

International Journal of Computer Applications in Technology ◽

10.1504/ijcat.2017.086017 ◽

2017 ◽

Vol 55 (4) ◽

pp. 298 ◽

Author(s):

K. Keerthi Vasan ◽

B. Surendiran

Keyword(s):

Intrusion Detection ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

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Genetic Algorithm Based Feature Subset Selection for Land Cover/ Land Use Mapping Using Wavelet Packet Transform

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-012-0208-5 ◽

2012 ◽

Vol 41 (2) ◽

pp. 237-248 ◽

Author(s):

S. Rajesh ◽

S. Arivazhagan ◽

K. Pratheep Moses ◽

R. Abisekaraj

Keyword(s):

Genetic Algorithm ◽

Land Use ◽

Wavelet Packet ◽

Subset Selection ◽

Wavelet Packet Transform ◽

Feature Subset Selection ◽

Feature Subset ◽

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A group incremental feature selection for classification using rough set theory based genetic algorithm

Applied Soft Computing ◽

10.1016/j.asoc.2018.01.040 ◽

2018 ◽

Vol 65 ◽

pp. 400-411 ◽

Author(s):

Asit K. Das ◽

Shampa Sengupta ◽

Siddhartha Bhattacharyya

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Rough Set ◽

Rough Set Theory ◽

Incremental Feature Selection ◽

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Parallel genetic algorithm of feature selection for complex system analysis

Journal of Physics Conference Series ◽

10.1088/1742-6596/1096/1/012089 ◽

2018 ◽

Vol 1096 ◽

pp. 012089 ◽

Author(s):

V V Mokshin ◽

I R Saifudinov ◽

L M Sharnin ◽

M V Trusfus ◽

P I Tutubalin

Keyword(s):

Complex System ◽

Genetic Algorithm ◽

Feature Selection ◽

System Analysis ◽

Parallel Genetic Algorithm ◽

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Optimal feature subset selection for fuzzy extreme learning machine using genetic algorithm with multilevel parameter optimization

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) ◽

10.1109/icsipa.2017.8120652 ◽

2017 ◽

Author(s):

Archana Kale ◽

Shefali Sonavane

Keyword(s):

Genetic Algorithm ◽

Extreme Learning Machine ◽

Parameter Optimization ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Selection For ◽

Optimal Feature Subset ◽

Learning Machine ◽

Optimal Feature

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