IoT Bonet and Network Intrusion Detection using Dimensionality Reduction and Supervised Machine Learning

2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) ◽

Supervised Machine Learning Based Network Intrusion Detection System for Internet of Things

10.1109/icccnt49239.2020.9225340 ◽

2020 ◽

Author(s):

Deepa Rani ◽

Narottam Chand Kaushal

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection System

Network Intrusion ◽

2019 28th International Conference on Computer Communication and Networks (ICCCN) ◽

Supervised Machine Learning Techniques for Efficient Network Intrusion Detection

10.1109/icccn.2019.8847179 ◽

2019 ◽

Cited By ~ 2

Author(s):

Nada Aboueata ◽

Sara Alrasbi ◽

Aiman Erbad ◽

Andreas Kassler ◽

Deval Bhamare

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Machine Learning Techniques ◽

Network Intrusion ◽

Learning Techniques

2018 International Conference on Computational Science and Computational Intelligence (CSCI) ◽

Self-Learning Semi-Supervised Machine Learning for Network Intrusion Detection

10.1109/csci46756.2018.00019 ◽

2018 ◽

Author(s):

Ningxin Shi ◽

Xiaohong Yuan ◽

Joaquin Hernandez ◽

Kaushik Roy ◽

Albert Esterline

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Network Intrusion ◽

Self Learning

2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) ◽

Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection

10.1109/icrest.2019.8644161 ◽

2019 ◽

Cited By ~ 9

Author(s):

Kazi Abu Taher ◽

Billal Mohammed Yasin Jisan ◽

Md. Mahbubur Rahman

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Intrusion Detection ◽

Machine Learning Technique ◽

Network Intrusion ◽

Learning Technique

Comparison of Machine Learning Algorithms to Build Optimized Network Intrusion Detection System

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.7929 ◽

2019 ◽

Vol 16 (5) ◽

pp. 2541-2549 ◽

Cited By ~ 2

Author(s):

H Parveen Sultana ◽

Nirvishi Shrivastava ◽

Dhanapal Durai Dominic ◽

N Nalini ◽

J. M Balajee

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Network Intrusion Detection System

Network Intrusion ◽

2020 International Conference on Information and Communication Technology Convergence (ICTC) ◽

Investigating Network Intrusion Detection Datasets Using Machine Learning

10.1109/ictc49870.2020.9289329 ◽

2020 ◽

Author(s):

Gabriel Chukwunonso Amaizu ◽

Cosmas Ifeanyi Nwakanma ◽

Jae-Min Lee ◽

Dong-Seong Kim

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

A novel Machine Learning-based Network Intrusion Detection System for Software-Defined Network

2020 7th NAFOSTED Conference on Information and Computer Science (NICS) ◽

10.1109/nics51282.2020.9335863 ◽

2020 ◽

Author(s):

Duc-Huy Le ◽

Hai-Anh Tran

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Network Intrusion Detection System

Software Defined Network ◽

Network Intrusion ◽

Research on Network Intrusion Detection Method Based on Machine Learning

Journal of Physics Conference Series ◽

10.1088/1742-6596/1861/1/012034 ◽

2021 ◽

Vol 1861 (1) ◽

pp. 012034

Author(s):

Guorong Xu

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Detection Method ◽

A New Network Intrusion Detection based on Semi-supervised Dimensionality Reduction and Tri-LightGBM

2020 International Conference on Pervasive Artificial Intelligence (ICPAI) ◽

10.1109/icpai51961.2020.00014 ◽

2020 ◽

Author(s):

Hao Zhang ◽

Jieling Li

Keyword(s):

Intrusion Detection ◽

Dimensionality Reduction ◽

Service-Aware Two-Level Partitioning for Machine Learning-based Network Intrusion Detection with High Performance and High Scalability

IEEE Access ◽

10.1109/access.2020.3048900 ◽

2021 ◽

pp. 1-1

Author(s):

Yeongje Uhm ◽

Wooguil Pak

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

High Performance ◽

Network Intrusion ◽

High Scalability