Jee-Tae Park

Orcid: 0000-0002-8515-6164

According to our database1, Jee-Tae Park authored at least 19 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT.
IEEE Access, 2023

User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic.
IEEE Access, 2023

Network User Action Detection based on PSD Signature through Encrypted Traffic Analysis.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Lightweight-Heavyweight Hybrid Approach for Application Traffic Classification.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Preprocessing and Analysis of an Open Dataset in Application Traffic Classification.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022
A novel blockchain-enabled heart disease prediction mechanism using machine learning.
Comput. Electr. Eng., 2022

Automatic Rule Generation Method for User Action Detection from Traffic Data.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Rule-based User Behavior Detection System for SaaS Application.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

MISCNN: A Novel Learning Scheme for CNN-Based Network Traffic Classification.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021
Flow based Sequential Grouping System for Malicious Traffic Detection.
KSII Trans. Internet Inf. Syst., 2021

2020
An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model.
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices.
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

2019
Block Analysis in Bitcoin System Using Clustering with Dimension Reduction.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

DDoS Attack Detection on Bitcoin Ecosystem using Deep-Learning.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2018
Network attack traffic detection using seed based sequential grouping model.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

Network Attack Traffic Detection for Calculating Correlation of the Flow.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

The Method of Seed Based Grouping Malicious Traffic by Deep-Learning.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2018

2017
Classification of application traffic using tensorflow machine learning.
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

Sky-Scope : Skype application traffic identification system.
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017


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