Online traffic classification for malicious flows using efficient machine learning techniques

TELKOMNIKA (Telecommunication Computing Electronics and Control) ◽

10.12928/telkomnika.v19i4.20402 ◽

2021 ◽

Vol 19 (4) ◽

pp. 1396

Author(s):

Ying Yenn Chan ◽

Ismahani Bt Ismail ◽

Ban Mohammed Khammas

Keyword(s):

Machine Learning ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Learning Techniques ◽

Efficient Machine ◽

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Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases

10.1145/3471287.3471297 ◽

2021 ◽

Author(s):

Pronab Ghosh ◽

Sami Azam ◽

Asif Karim ◽

Mirjam Jonkman ◽

MD. Zahid Hasan

Keyword(s):

Machine Learning ◽

Heart Diseases ◽

Machine Learning Techniques ◽

Learning Techniques ◽

Efficient Machine

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Quantifying California current plankton samples with efficient machine learning techniques

OCEANS 2015 - MTS/IEEE Washington ◽

10.23919/oceans.2015.7404607 ◽

2015 ◽

Author(s):

Jeffrey Ellen ◽

Hongyu Li ◽

Mark D. Ohman

Keyword(s):

Machine Learning ◽

California Current ◽

Machine Learning Techniques ◽

Learning Techniques ◽

Efficient Machine

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Application of advanced machine learning techniques to early network traffic classification

10.35376/10324/43197 ◽

2020 ◽

Author(s):

Santiago Egea Gómez

Keyword(s):

Machine Learning ◽

Network Traffic ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Learning Techniques ◽

Network Traffic Classification

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Review of Machine Learning Techniques for Network Traffic Classification

SSRN Electronic Journal ◽

10.2139/ssrn.3747605 ◽

2020 ◽

Author(s):

Niharika Sharma ◽

Bhavna Arora

Keyword(s):

Machine Learning ◽

Network Traffic ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Learning Techniques ◽

Network Traffic Classification

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Network Traffic Classification using Machine Learning Techniques over Software Defined Networks

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2017.080729 ◽

2017 ◽

Vol 8 (7) ◽

Author(s):

Mohammad Reza ◽

Mohammad Javad ◽

Seyed Raouf ◽

Reza Javidan

Keyword(s):

Machine Learning ◽

Network Traffic ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Software Defined Networks ◽

Learning Techniques ◽

Network Traffic Classification

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Comparative Analysis of Machine Learning techniques for Network Traffic Classification

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/655/1/012025 ◽

2021 ◽

Vol 655 (1) ◽

pp. 012025

Author(s):

Oluranti Jonathan ◽

Sanjay Misra ◽

Victor Osamor

Keyword(s):

Machine Learning ◽

Comparative Analysis ◽

Network Traffic ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Learning Techniques ◽

Network Traffic Classification

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Multi-objective optimization of a hybrid model for network traffic classification by combining machine learning techniques

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889935 ◽

2014 ◽

Author(s):

Zuleika Nascimento ◽

Djamel Sadok ◽

Stenio Fernandes ◽

Judith Kelner

Keyword(s):

Machine Learning ◽

Hybrid Model ◽

Network Traffic ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Multi Objective Optimization ◽

Multi Objective ◽

Learning Techniques ◽

Network Traffic Classification

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Darknet Traffic Classification using Machine Learning Techniques

2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST) ◽

10.1109/mocast52088.2021.9493386 ◽

2021 ◽

Author(s):

Lazaros Alexios Iliadis ◽

Theodoros Kaifas

Keyword(s):

Machine Learning ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Learning Techniques

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Performance Analysis of Unsupervised Machine Learning Techniques for Network Traffic Classification

2015 Fifth International Conference on Advanced Computing & Communication Technologies ◽

10.1109/acct.2015.54 ◽

2015 ◽

Author(s):

Hardeep Singh

Keyword(s):

Machine Learning ◽

Performance Analysis ◽

Network Traffic ◽

Machine Learning Techniques ◽

Traffic Classification ◽

Unsupervised Machine Learning ◽

Learning Techniques ◽

Network Traffic Classification

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An Efficient Machine Learning Techniques Based on IoT for Effective Load Forecasting

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1074/1/012015 ◽

2021 ◽

Vol 1074 (1) ◽

pp. 012015

Author(s):

K. Rameshwaraiah ◽

Sankarpu Sateesh Kumar ◽

K. Srinivasa Babu ◽

T. Madhu

Keyword(s):

Machine Learning ◽

Load Forecasting ◽

Machine Learning Techniques ◽

Learning Techniques ◽

Efficient Machine

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