Design and Performance Analysis of Software Defined Networking Based Web Services Adopting Moving Target Defense. - Dong Seong Kim 001; Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson (DSN (Supplements), 2020)

A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. - Tina Moghaddam; Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson; Dan Dongseong Kim (DSN Workshops, 2022)

Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. - Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson; Dan Dongseong Kim (PRDC, 2022)

Security Modeling and Analysis of Moving Target Defense in Software Defined Networks. - Júlio Mendonça 001; Minjune Kim; Rafal Graczyk; Marcus Völp; Dan Dongseong Kim (PRDC, 2022)

Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. - Minjune Kim; Jin-Hee Cho; Hyuk Lim; Terrence J. Moore; Frederica F. Nelson; Ryan K. L. Ko; Dan Dongseong Kim (QRS, 2022)

Performability evaluation of switch-over Moving Target Defence mechanisms in a Software Defined Networking using stochastic reward nets. - Tuan Anh Nguyen 002; Minjune Kim; Jang Se Lee; Dugki Min; Jae-Woo Lee; Dan Dongseong Kim (J. Netw. Comput. Appl., 2022)

Optimizing Cyber Defense in Dynamic Active Directories Through Reinforcement Learning. - Diksha Goel; Kristen Moore; Mingyu Guo; Derui Wang; Minjune Kim; Seyit Camtepe (ESORICS (1), 2024)

CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders. - Minjune Kim; Jeff Wang; Kristen Moore; Diksha Goel; Derui Wang; Ahmad Mohsin; Ahmed Ibrahim 002; Robin Doss; Seyit Camtepe; Helge Janicke (WWW (Companion Volume), 2025)

CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization. - Derui Wang; Kristen Moore; Diksha Goel; Minjune Kim; Gang Li 009; Yang Li 182; Robin Ram Mohan Doss; Minhui Xue 001; Bo Li 026; Seyit Camtepe; Liming Zhu 001 (Zenodo, 2025)

CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization. - Derui Wang; Kristen Moore; Diksha Goel; Minjune Kim; Gang Li 009; Yang Li 182; Robin Doss; Minhui Xue 001; Bo Li 026; Seyit Camtepe; Liming Zhu 001 (CoRR, 2025)

Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents. - Diksha Goel; Kristen Moore; Jeff Wang; Minjune Kim; Thanh Thi Nguyen (CoRR, 2025)

Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading. - Yoonseok Yang; Minjune Kim; Marlon Rondinelli; Keren Shao (CoRR, 2025)