Jee-Tae Park

Orcid: 0000-0002-8515-6164

According to our database¹, Jee-Tae Park authored at least 20 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Lightweight Multi-Input Shape CNN-based Application Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

2023

A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT.

[BibT_eX]

[DOI]

IEEE Access, 2023

User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic.

[BibT_eX]

[DOI]

IEEE Access, 2023

Network User Action Detection based on PSD Signature through Encrypted Traffic Analysis.

[BibT_eX]

[DOI]

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Lightweight-Heavyweight Hybrid Approach for Application Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Preprocessing and Analysis of an Open Dataset in Application Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022

A novel blockchain-enabled heart disease prediction mechanism using machine learning.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Automatic Rule Generation Method for User Action Detection from Traffic Data.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Rule-based User Behavior Detection System for SaaS Application.

[BibT_eX]

[DOI]

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

MISCNN: A Novel Learning Scheme for CNN-Based Network Traffic Classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021

Flow based Sequential Grouping System for Malicious Traffic Detection.

[BibT_eX]

[DOI]

KSII Trans. Internet Inf. Syst., 2021

2020

An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices.

[BibT_eX]

[DOI]

Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

2019

Block Analysis in Bitcoin System Using Clustering with Dimension Reduction.

[BibT_eX]

[DOI]

Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

DDoS Attack Detection on Bitcoin Ecosystem using Deep-Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2018

Network attack traffic detection using seed based sequential grouping model.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

Network Attack Traffic Detection for Calculating Correlation of the Flow.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

The Method of Seed Based Grouping Malicious Traffic by Deep-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

2017

Classification of application traffic using tensorflow machine learning.

[BibT_eX]

[DOI]

Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

Sky-Scope : Skype application traffic identification system.

[BibT_eX]

[DOI]

Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

Jee-Tae Park

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...