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)

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)

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)

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)

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)