Comparative Study of Machine Learning Methods for In-Vehicle Intrusion Detection

Computer Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-12786-2_6 ◽

2019 ◽

pp. 85-101 ◽

Author(s):

Ivo Berger ◽

Roland Rieke ◽

Maxim Kolomeets ◽

Andrey Chechulin ◽

Igor Kotenko

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Learning Methods ◽

Machine Learning Methods

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Machine learning methods for cyber security intrusion detection: Datasets and comparative study

Computer Networks ◽

10.1016/j.comnet.2021.107840 ◽

2021 ◽

Vol 188 ◽

pp. 107840

Author(s):

Ilhan Firat Kilincer ◽

Fatih Ertam ◽

Abdulkadir Sengur

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Cyber Security ◽

Learning Methods ◽

Machine Learning Methods

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Network Intrusion Detection: A comparative study using state-of-the-art machine learning methods

2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) ◽

10.1109/icict46931.2019.8977679 ◽

2019 ◽

Author(s):

Mahima Rai ◽

H. L. Mandoria

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

State Of The Art ◽

Network Intrusion Detection ◽

Learning Methods ◽

Machine Learning Methods ◽

Network Intrusion

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A comparative study of machine learning methods for ordinal classification with absolute and relative information

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107358 ◽

2021 ◽

pp. 107358

Author(s):

Mengzi Tang ◽

Raúl Pérez-Fernández ◽

Bernard De Baets

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽

Ordinal Classification ◽

Machine Learning Methods ◽

Relative Information

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A Comparative Study of Machine Learning Methods for Detecting Promoters in Bacterial DNA Sequences

Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-85984-0_115 ◽

2008 ◽

pp. 959-966 ◽

Author(s):

Leonardo G. Tavares ◽

Heitor S. Lopes ◽

Carlos R. Erig Lima

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Dna Sequences ◽

Learning Methods ◽

Bacterial Dna ◽

Machine Learning Methods

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A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction

Advances in Intelligent Systems and Computing - Knowledge and Systems Engineering ◽

10.1007/978-3-319-11680-8_46 ◽

2015 ◽

pp. 577-588 ◽

Author(s):

Duc-Hau Le ◽

Nguyen Xuan Hoai ◽

Yung-Keun Kwon

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Disease Gene ◽

Gene Prediction ◽

Learning Methods ◽

Disease Gene Prediction ◽

Machine Learning Methods

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A Review of Intrusion Detection Systems: Datasets and machine learning methods

10.1145/3454127.3456576 ◽

2021 ◽

Author(s):

Aouatif ARQANE ◽

Omar Boutkhoum ◽

Hicham Boukhriss ◽

Abdelmajid El Moutaouakkil

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Intrusion Detection Systems ◽

Learning Methods ◽

Detection Systems ◽

Machine Learning Methods

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A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites

Integrating Materials and Manufacturing Innovation ◽

10.1007/s40192-019-00129-4 ◽

2019 ◽

Vol 8 (2) ◽

pp. 67-81 ◽

Author(s):

Patxi Fernandez-Zelaia ◽

Yuksel C. Yabansu ◽

Surya R. Kalidindi

Keyword(s):

Machine Learning ◽

Comparative Study ◽

High Contrast ◽

Structure Property ◽

Learning Methods ◽

Machine Learning Methods ◽

Elastic Composites

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Inter-dataset generalization strength of supervised machine learning methods for intrusion detection

Journal of Information Security and Applications ◽

10.1016/j.jisa.2020.102564 ◽

2020 ◽

Vol 54 ◽

pp. 102564

Author(s):

Laurens D’hooge ◽

Tim Wauters ◽

Bruno Volckaert ◽

Filip De Turck

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Supervised Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

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A new hybrid approach for intrusion detection using machine learning methods

Applied Intelligence ◽

10.1007/s10489-018-01408-x ◽

2019 ◽

Vol 49 (7) ◽

pp. 2735-2761 ◽

Author(s):

Ünal Çavuşoğlu

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Hybrid Approach ◽

Learning Methods ◽

Machine Learning Methods

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A comparative study between popular statistical and machine learning methods for simulating volume of landslides

CATENA ◽

10.1016/j.catena.2017.05.016 ◽

2017 ◽

Vol 157 ◽

pp. 213-226 ◽

Author(s):

Ataollah Shirzadi ◽

Himan Shahabi ◽

Kamran Chapi ◽

Dieu Tien Bui ◽

Binh Thai Pham ◽

...

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Methods ◽

Machine Learning Methods

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