Ui-Jun Baek

23 papers B 2C 10Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Practical and Analyst-Acceptable Explainable AI for Supporting Decision-Making in SOCs.
IEEE Access
Hyunwoo Lee, Ui-Jun Baek, Taewoong Kwon, Jun Lee, Jungsuk Song
2025 J jnl
A filter-and-refine approach to lightweight application traffic classification.
ICT Express
Ui-Jun Baek, Jee-Tae Park, Yoon-Seong Jang, Ju-Sung Kim, Yang-Seo Choi, Myung-Sup Kim
2024 B conf
Lightweight Multi-Input Shape CNN-based Application Traffic Classification.
NOMS
Ui-Jun Baek, Min-Seong Lee, Jee-Tae Park, Jeong Woo Choi, Chang-Yui Shin, Ju-Sung Kim, Yoon-Seong Jang, Myung-Sup Kim
2023 J jnl
A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT.
IEEE Access
Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim
2023 C conf
Lightweight-Heavyweight Hybrid Approach for Application Traffic Classification.
APNOMS
Min-Seong Lee, Jee-Tae Park, Ui-Jun Baek, Chang-Yui Shin, Jeong-Woo Choi, Myung-Sup Kim
2023 C conf
Network User Action Detection based on PSD Signature through Encrypted Traffic Analysis.
APNOMS
Jee-Tae Park, Ui-Jun Baek, Chang-Yui Shin, Min-Seong Lee, Jeong-Woo Choi, Myung-Sup Kim
2023 C conf
Preprocessing and Analysis of an Open Dataset in Application Traffic Classification.
APNOMS
Ui-Jun Baek, Min-Seong Lee, Jee-Tae Park, Jeong-Woo Choi, Chang-Yui Shin, Myung-Sup Kim
2023 J jnl
User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic.
IEEE Access
Jee-Tae Park, Chang-Yui Shin, Ui-Jun Baek, Myung-Sup Kim
2022 J jnl
A novel blockchain-enabled heart disease prediction mechanism using machine learning.
Comput. Electr. Eng.
Huru Hasanova, Muhammad Tufail, Ui-Jun Baek, Jee-Tae Park, Myung-Sup Kim
2022 — conf
Automatic Rule Generation Method for User Action Detection from Traffic Data.
ICTC
Jee-Tae Park, Chang-Yui Shin, Jeong-Woo Choi, Ui-Jun Baek, Min-Seong Lee, Myung-Sup Kim
2022 C conf
MISCNN: A Novel Learning Scheme for CNN-Based Network Traffic Classification.
APNOMS
Ui-Jun Baek, Boseon Kim, Jee-Tae Park, Jeong-Woo Choi, Myung-Sup Kim
2022 C conf
Rule-based User Behavior Detection System for SaaS Application.
APNOMS
Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim, Min-Seong Lee, Chang-Yui Shin
2021 J jnl
Flow based Sequential Grouping System for Malicious Traffic Detection.
KSII Trans. Internet Inf. Syst.
Jee-Tae Park, Ui-Jun Baek, Min-Seong Lee, Young-Hoon Goo, Sung-Ho Lee, Myung-Sup Kim
2020 C conf
An Automatic Protocol Reverse Engineering Approach from the Viewpoint of the TCP/IP Reference Model.
APNOMS
Young-Hoon Goo, Kyu-Seok Shim, Ui-Jun Baek, Jee-Tae Park, Mu-Gon Shin, Myung-Sup Kim
2020 C conf
Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices.
APNOMS
Ui-Jun Baek, Mu-Gon Shin, Min-Seong Lee, Boseon Kim, Jee-Tae Park, Myung-Sup Kim
2020 J jnl
Two-Pathway Model for Enhancement of Protocol Reverse Engineering.
KSII Trans. Internet Inf. Syst.
Young-Hoon Goo, Kyu-Seok Shim, Ui-Jun Baek, Myung-Sup Kim
2019 J jnl
A survey on blockchain cybersecurity vulnerabilities and possible countermeasures.
Int. J. Netw. Manag.
Huru Hasanova, Ui-Jun Baek, Mu-Gon Shin, Kyunghee Cho, Myung-Sup Kim
2019 C conf
Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count.
APNOMS
Se-Hyun Ji, Ui-Jun Baek, Mu-Gon Shin, Young-Hoon Goo, Jun-Sang Park, Myung-Sup Kim
2019 C conf
Block Analysis in Bitcoin System Using Clustering with Dimension Reduction.
APNOMS
Mu-Gon Shin, Ui-Jun Baek, Kyu-Seok Shim, Jee-Tae Park, Sung-Ho Yoon, Myung-Sup Kim
2019 C conf
DDoS Attack Detection on Bitcoin Ecosystem using Deep-Learning.
APNOMS
Ui-Jun Baek, Se-Hyun Ji, Jee-Tae Park, Min-Seob Lee, Jun-Sang Park, Myung-Sup Kim
2018 — conf
Network Attack Traffic Detection for Calculating Correlation of the Flow.
ICTC
Jee-Tae Park, Young-Hoon Goo, Kyu-Seok Shim, Ui-Jun Baek, Myung-Sup Kim
2018 B conf
Network attack traffic detection using seed based sequential grouping model.
NOMS
Jee-Tae Park, Sung-Ho Lee, Young-Hoon Goo, Ui-Jun Baek, Myung-Sup Kim
2018 — conf
The Method of Seed Based Grouping Malicious Traffic by Deep-Learning.
ICTC
Ui-Jun Baek, Jee-Tae Park, Huru Hasanova, Myung-Sup Kim