Taxonomy of services and its relationship with operations and strategy in electronic commerce. - Sung-Eui Cho; Kwangtae Park; Jonguk Kim (Int. J. Serv. Technol. Manag., 2004)

An Exploratory Study on Knowledge Management Characteristics and Challenges in Mass customisation. - Sung-Eui Cho; Won Jun Lee; Jonguk Kim (J. Inf. Knowl. Manag., 2005)

Determinants of success for application service provider: An empirical test in small businesses. - Heeseok Lee; Jeoungkun Kim; Jonguk Kim (Int. J. Hum. Comput. Stud., 2007)

Classification of Knowledge Areas/Hierarchies and its Implications in Mass customisation: an Exploratory Study. - Sung-Eui Cho; Won Jun Lee; Jonguk Kim (J. Inf. Knowl. Manag., 2007)

EDGAR: Extended Dynamic Group-Key AgReement. - Jonguk Kim; Sukin Kang; Manpyo Hong; Seong-uck Lee (SUTC/UMC, 2010)

Polynomial-based key management for secure intra-group and inter-group communication. - Piao Yanji; Jonguk Kim; Usman Tariq; Manpyo Hong (Comput. Math. Appl., 2013)

Go anywhere: user-verifiable authentication over distance-free channel for mobile devices. - Sukin Kang; Jonguk Kim; Manpyo Hong (Pers. Ubiquitous Comput., 2013)

Button-based method for the prevention of near field communication relay attacks. - Sukin Kang; Jonguk Kim; Manpyo Hong (Int. J. Commun. Syst., 2015)

On-demand virtualization for live migration in bare metal cloud. - Jaeseong Im; Jongyul Kim 001; Jonguk Kim; Seongwook Jin; Seungryoul Maeng (SoCC, 2017)

Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling. - Won-Seok Hwang; Jeong-Han Yun; Jonguk Kim; HyoungChun Kim (CIKM, 2019)

Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks. - Jonguk Kim; Jeong-Han Yun; HyoungChun Kim (CyberICPS/SECPRE/SPOSE/ADIoT@ESORICS, 2019)

"Do you know existing accuracy metrics overrate time-series anomaly detections?". - Won-Seok Hwang; Jeong-Han Yun; Jonguk Kim; Byung-Gil Min (SAC, 2022)

Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series. - Jeong-Han Yun; Jonguk Kim; Won-Seok Hwang; Young Geun Kim; Simon S. Woo; Byung-Gil Min (SAC, 2022)