An Empirical Study on the Relationship between User Characteristics and Quality Factors for Effective Shopping Mall Websites Implementation. - Donghwoon Kwon; Young-Jik Kwon; Yeong-Tae Song; Roger Y. Lee (SERA (selected papers), 2013)

A Study on Comparison on the Technical Factors of Korea and China Shopping Mall Website. - Donghwoon Kwon; Jun Cui; Young-Jik Kwon; Chang-Hai Jin (SNPD, 2013)

Refinement/verification of early stage probabilistic software project schedules in the planning stage. - Donghwoon Kwon; Robert J. Hammell (SNPD, 2014)

Objective framework for early-stage comparison of software development project types. - Donghwoon Kwon; Robert J. Hammell (ICIS, 2015)

A Study on C2B2C Business Integration Model Design Focusing On the Fashion Clothes Business. - Zhi-Chao Cheng; Donghwoon Kwon; Chang-Hai Jin; Young-Jik Kwon (J. Multim. Inf. Syst., 2016)

Unsupervised Labeling for Supervised Anomaly Detection in Enterprise and Cloud Networks. - Sunhee Baek; Donghwoon Kwon; Jinoh Kim; Sang C. Suh; Hyunjoo Kim; Ikkyun Kim (CSCloud, 2017)

A Study on Auto Patrol Drone Development for Safety Management. - Donghwoon Kwon; Geumchae Yoon; Sang-Youn Kim; Young-Jik Kwon (ICCDA, 2017)

A Study on Big Data Thinking of the Internet of Things-Based Smart-Connected Car in Conjunction with Controller Area Network Bus and 4G-Long Term Evolution. - Donghwoon Kwon; Suwoo Park; Jeong-Tak Ryu (Symmetry, 2017)

A study on development of the blind spot detection system for the IoT-based smart connected car. - Donghwoon Kwon; Suwoo Park; Sunhee Baek; Ritesh K. Malaiya; Geumchae Yoon; Jeong-Tak Ryu (ICCE, 2018)

An Empirical Study on Network Anomaly Detection Using Convolutional Neural Networks. - Donghwoon Kwon; Kathiravan Natarajan; Sang C. Suh; Hyunjoo Kim; Jinoh Kim (ICDCS, 2018)

A Study on Probabilistic Schedule Estimation and Refinement of the Small and Medium-Sized Software Development Projects. - Donghwoon Kwon; Ilnam Jeong; Geumchae Yoon; Bilal Abu Bakr; Ki Pyung Kim (J. Softw., 2018)

An Empirical Evaluation of Deep Learning for Network Anomaly Detection. - Ritesh K. Malaiya; Donghwoon Kwon; Sang C. Suh; Hyunjoo Kim; Ikkyun Kim; Jinoh Kim (IEEE Access, 2019)

A survey of deep learning-based network anomaly detection. - Donghwoon Kwon; Hyunjoo Kim; Jinoh Kim; Sang C. Suh; Ikkyun Kim; Kuinam J. Kim (Clust. Comput., 2019)

Clustering-based label estimation for network anomaly detection. - Sunhee Baek; Donghwoon Kwon; Sang C. Suh; Hyunjoo Kim; Ikkyun Kim; Jinoh Kim (Digit. Commun. Networks, 2021)

Evaluating Unbalanced Network Data for Attack Detection. - Donghwoon Kwon; Rares-Mihail Neagu; Prem Rasakonda; Jeong-Tak Ryu; Jinoh Kim (SNTA@HPDC, 2023)