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Jee-Tae Park

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2020 – today

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2024
[c16]
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Ui-Jun Baek, Min-Seong Lee, Jee-Tae Park, Jeong Woo Choi, Chang-Yui Shin, Ju-Sung Kim, Yoon-Seong Jang, Myung-Sup Kim:
Lightweight Multi-Input Shape CNN-based Application Traffic Classification. NOMS 2024: 1-5
2023
[j4]
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Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim:
A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT. IEEE Access 11: 70216-70237 (2023)
[j3]
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Jee-Tae Park, Chang-Yui Shin, Ui-Jun Baek, Myung-Sup Kim:
User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic. IEEE Access 11: 97353-97372 (2023)
[c15]
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Ui-Jun Baek, Min-Seong Lee, Jee-Tae Park, Jeong-Woo Choi, Chang-Yui Shin, Myung-Sup Kim:
Preprocessing and Analysis of an Open Dataset in Application Traffic Classification. APNOMS 2023: 227-230
[c14]
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Min-Seong Lee, Jee-Tae Park, Ui-Jun Baek, Chang-Yui Shin, Jeong-Woo Choi, Myung-Sup Kim:
Lightweight-Heavyweight Hybrid Approach for Application Traffic Classification. APNOMS 2023: 314-317
[c13]
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Jee-Tae Park, Ui-Jun Baek, Chang-Yui Shin, Min-Seong Lee, Jeong-Woo Choi, Myung-Sup Kim:
Network User Action Detection based on PSD Signature through Encrypted Traffic Analysis. APNOMS 2023: 318-321
2022
[j2]
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Huru Hasanova, Muhammad Tufail, Ui-Jun Baek, Jee-Tae Park, Myung-Sup Kim:
A novel blockchain-enabled heart disease prediction mechanism using machine learning. Comput. Electr. Eng. 101: 108086 (2022)
[c12]
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Ui-Jun Baek, Boseon Kim, Jee-Tae Park, Jeong-Woo Choi, Myung-Sup Kim:
MISCNN: A Novel Learning Scheme for CNN-Based Network Traffic Classification. APNOMS 2022: 1-6
[c11]
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Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim, Min-Seong Lee, Chang-Yui Shin:
Rule-based User Behavior Detection System for SaaS Application. APNOMS 2022: 1-4
[c10]
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Jee-Tae Park, Chang-Yui Shin, Jeong-Woo Choi, Ui-Jun Baek, Min-Seong Lee, Myung-Sup Kim:
Automatic Rule Generation Method for User Action Detection from Traffic Data. ICTC 2022: 2037-2040
2021
[j1]
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Jee-Tae Park, Ui-Jun Baek, Min-Seong Lee, Young-Hoon Goo, Sung-Ho Lee, Myung-Sup Kim:
Flow based Sequential Grouping System for Malicious Traffic Detection. KSII Trans. Internet Inf. Syst. 15(10): 3771-3792 (2021)
2020
[c9]
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Young-Hoon Goo, Kyu-Seok Shim, Ui-Jun Baek, Jee-Tae Park, Mu-Gon Shin, Myung-Sup Kim:
An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model. APNOMS 2020: 43-48
[c8]
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Ui-Jun Baek, Mu-Gon Shin, Min-Seong Lee, Boseon Kim, Jee-Tae Park, Myung-Sup Kim:
Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices. APNOMS 2020: 267-270

2010 – 2019

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2019
[c7]
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Ui-Jun Baek, Se-Hyun Ji, Jee-Tae Park, Min-Seob Lee, Jun-Sang Park, Myung-Sup Kim:
DDoS Attack Detection on Bitcoin Ecosystem using Deep-Learning. APNOMS 2019: 1-4
[c6]
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Mu-Gon Shin, Ui-Jun Baek, Kyu-Seok Shim, Jee-Tae Park, Sung-Ho Yoon, Myung-Sup Kim:
Block Analysis in Bitcoin System Using Clustering with Dimension Reduction. APNOMS 2019: 1-4
2018
[c5]
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Ui-Jun Baek, Jee-Tae Park, Huru Hasanova, Myung-Sup Kim:
The Method of Seed Based Grouping Malicious Traffic by Deep-Learning. ICTC 2018: 701-705
[c4]
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Jee-Tae Park, Young-Hoon Goo, Kyu-Seok Shim, Ui-Jun Baek, Myung-Sup Kim:
Network Attack Traffic Detection for Calculating Correlation of the Flow. ICTC 2018: 928-931
[c3]
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Jee-Tae Park, Sung-Ho Lee, Young-Hoon Goo, Ui-Jun Baek, Myung-Sup Kim:
Network attack traffic detection using seed based sequential grouping model. NOMS 2018: 1-4
2017
[c2]
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Sung-Ho Lee, Young-Hoon Goo, Jee-Tae Park, Se-Hyun Ji, Myung-Sup Kim:
Sky-Scope : Skype application traffic identification system. APNOMS 2017: 259-262
[c1]
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Jee-Tae Park, Kyu-Seok Shim, Sung-Ho Lee, Myung-Sup Kim:
Classification of application traffic using tensorflow machine learning. APNOMS 2017: 391-394

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