The Method of Seed Based Grouping Malicious Traffic by Deep-Learning. - Ui-Jun Baek; Jee-Tae Park; Huru Hasanova; Myung-Sup Kim (ICTC, 2018)

Network Attack Traffic Detection for Calculating Correlation of the Flow. - Jee-Tae Park; Young-Hoon Goo; Kyu-Seok Shim; Ui-Jun Baek; Myung-Sup Kim (ICTC, 2018)

Network attack traffic detection using seed based sequential grouping model. - Jee-Tae Park; Sung-Ho Lee; Young-Hoon Goo; Ui-Jun Baek; Myung-Sup Kim (NOMS, 2018)

DDoS Attack Detection on Bitcoin Ecosystem using Deep-Learning. - Ui-Jun Baek; Se-Hyun Ji; Jee-Tae Park; Min-Seob Lee; Jun-Sang Park; Myung-Sup Kim (APNOMS, 2019)

Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count. - Se-Hyun Ji; Ui-Jun Baek; Mu-Gon Shin; Young-Hoon Goo; Jun-Sang Park; Myung-Sup Kim (APNOMS, 2019)

Block Analysis in Bitcoin System Using Clustering with Dimension Reduction. - Mu-Gon Shin; Ui-Jun Baek; Kyu-Seok Shim; Jee-Tae Park; Sung-Ho Yoon; Myung-Sup Kim (APNOMS, 2019)

A survey on blockchain cybersecurity vulnerabilities and possible countermeasures. - Huru Hasanova; Ui-Jun Baek; Mu-Gon Shin; Kyunghee Cho; Myung-Sup Kim (Int. J. Netw. Manag., 2019)

Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices. - Ui-Jun Baek; Mu-Gon Shin; Min-Seong Lee; Boseon Kim; Jee-Tae Park; Myung-Sup Kim (APNOMS, 2020)

An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model. - Young-Hoon Goo; Kyu-Seok Shim; Ui-Jun Baek; Jee-Tae Park; Mu-Gon Shin; Myung-Sup Kim (APNOMS, 2020)

Two-Pathway Model for Enhancement of Protocol Reverse Engineering. - Young-Hoon Goo; Kyu-Seok Shim; Ui-Jun Baek; Myung-Sup Kim (KSII Trans. Internet Inf. Syst., 2020)

Flow based Sequential Grouping System for Malicious Traffic Detection. - Jee-Tae Park; Ui-Jun Baek; Min-Seong Lee; Young-Hoon Goo; Sung-Ho Lee; Myung-Sup Kim (KSII Trans. Internet Inf. Syst., 2021)

MISCNN: A Novel Learning Scheme for CNN-Based Network Traffic Classification. - Ui-Jun Baek; Boseon Kim; Jee-Tae Park; Jeong-Woo Choi; Myung-Sup Kim (APNOMS, 2022)

Rule-based User Behavior Detection System for SaaS Application. - Jee-Tae Park; Ui-Jun Baek; Myung-Sup Kim; Min-Seong Lee; Chang-Yui Shin (APNOMS, 2022)

Automatic Rule Generation Method for User Action Detection from Traffic Data. - Jee-Tae Park; Chang-Yui Shin; Jeong-Woo Choi; Ui-Jun Baek; Min-Seong Lee; Myung-Sup Kim (ICTC, 2022)

A novel blockchain-enabled heart disease prediction mechanism using machine learning. - Huru Hasanova; Muhammad Tufail; Ui-Jun Baek; Jee-Tae Park; Myung-Sup Kim (Comput. Electr. Eng., 2022)

Preprocessing and Analysis of an Open Dataset in Application Traffic Classification. - Ui-Jun Baek; Min-Seong Lee; Jee-Tae Park; Jeong-Woo Choi; Chang-Yui Shin; Myung-Sup Kim (APNOMS, 2023)

Lightweight-Heavyweight Hybrid Approach for Application Traffic Classification. - Min-Seong Lee; Jee-Tae Park; Ui-Jun Baek; Chang-Yui Shin; Jeong-Woo Choi; Myung-Sup Kim (APNOMS, 2023)

Network User Action Detection based on PSD Signature through Encrypted Traffic Analysis. - Jee-Tae Park; Ui-Jun Baek; Chang-Yui Shin; Min-Seong Lee; Jeong-Woo Choi; Myung-Sup Kim (APNOMS, 2023)

User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic. - Jee-Tae Park; Chang-Yui Shin; Ui-Jun Baek; Myung-Sup Kim (IEEE Access, 2023)

A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT. - Chang-Yui Shin; Jee-Tae Park; Ui-Jun Baek; Myung-Sup Kim (IEEE Access, 2023)

Lightweight Multi-Input Shape CNN-based Application Traffic Classification. - Ui-Jun Baek; Min-Seong Lee; Jee-Tae Park; Jeong Woo Choi; Chang-Yui Shin; Ju-Sung Kim; Yoon-Seong Jang; Myung-Sup Kim (NOMS, 2024)

A filter-and-refine approach to lightweight application traffic classification. - Ui-Jun Baek; Jee-Tae Park; Yoon-Seong Jang; Ju-Sung Kim; Yang-Seo Choi; Myung-Sup Kim (ICT Express, 2025)