Ui-Jun Baek

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Action Detection

Reverse Engineer

Generation Method

Top Venues

KSII Trans. Internet Inf. Syst.

Publications

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)
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)
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)
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 (2023)
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)
Chang-Yui Shin, Jee-Tae Park, Ui-Jun Baek, Myung-Sup Kim
A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT. IEEE Access 11 (2023)
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)
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 (2022)
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)
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)
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) (2021)
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)
Young-Hoon Goo, Kyu-Seok Shim, Ui-Jun Baek, Myung-Sup Kim
Two-Pathway Model for Enhancement of Protocol Reverse Engineering. KSII Trans. Internet Inf. Syst. 14 (11) (2020)
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)
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)
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)
Se-Hyun Ji, Ui-Jun Baek, Mu-Gon Shin, Young-Hoon Goo, Jun-Sang Park, Myung-Sup Kim
Best Feature Selection using Correlation Analysis for Prediction of Bitcoin Transaction Count. APNOMS (2019)
Huru Hasanova, Ui-Jun Baek, Mu-Gon Shin, Kyunghee Cho, Myung-Sup Kim
A survey on blockchain cybersecurity vulnerabilities and possible countermeasures. Int. J. Netw. Manag. 29 (2) (2019)
Ui-Jun Baek, Jee-Tae Park, Huru Hasanova, Myung-Sup Kim
The Method of Seed Based Grouping Malicious Traffic by Deep-Learning. ICTC (2018)
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)
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)