ProFiOt: Abnormal Behavior Profiling (ABP) of IoT devices based on a machine learning approach. - Soo-Yeon Lee; Sa-rang Wi; Eunil Seo; Jun-Kwon Jung; Tai-Myoung Chung (ITNAC, 2017)

Design of the Central LISP Management System for the Software-Defined Wireless Network (SDWN). - Eunil Seo; Vyacheslav V. Zalyubovskiy; Tai-Myoung Chung (MobiWac, 2017)

Leveraging Software-Defined Wireless Network (SDWN) by Locator/Identifier Split Scheme for Mobility Management. - Eunil Seo; Vyacheslav V. Zalyubovskiy; Tai-Myoung Chung (J. Commun., 2017)

The Scalable LISP-Deployed Software-Defined Wireless Network (LISP-SDWN) for a Next Generation Wireless Network. - Eunil Seo; Sa-rang Wi; Vyacheslav V. Zalyubovskiy; Tai-Myoung Chung (IEEE Access, 2018)

A Method to Enhance the Security Capability of Python IDE. - Vinh Pham; Namuk Kim; Eunil Seo; Jun Suk Ha; Tai-Myoung Chung (FDSE, 2019)

Profiling-Based Classification Algorithms for Security Applications in Internet of Things. - Eunil Seo; Hyoungshick Kim; Tai-Myoung Chung (ICIOT, 2019)

Mathematical Modeling of the Scalable LISP-deployed Software-Defined Wireless Network. - Eunil Seo; Vyacheslav V. Zalyubovskiy; Tai-Myoung Chung (J. Commun., 2019)

Lightweight Convolutional Neural Network Based Intrusion Detection System. - Vinh Pham; Eunil Seo; Tai-Myoung Chung (J. Commun., 2020)

Auction-based Federated Learning using Software-defined Networking for resource efficiency. - Eunil Seo; Dusit Niyato; Erik Elmroth (CNSM, 2021)

Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach. - Eunil Seo; Dusit Niyato; Erik Elmroth (IEEE Internet Things J., 2022)

Accelerating convergence in wireless federated learning by sharing marginal data. - Eunil Seo; Vinh Pham; Erik Elmroth (ICOIN, 2023)

MadFed: Enhancing Federated Learning With Marginal-Data Model Fusion. - Eunil Seo; Erik Elmroth (IEEE Access, 2023)

An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization. - Eunil Seo; Hyoungshick Kim; Bhaskar Krishnamachari; Erik Elmroth (IEEE Trans. Cloud Comput., 2023)

tinyKube: A Middleware for Dynamic Resource Management in Cloud-Edge Platforms for Large-Scale Cloud Robotics. - Chanh Nguyen 001; Eunil Seo; Muhammad Zahid; Oliver Larsson; Florian T. Pokorny; Erik Elmroth (NOMS, 2025)

Pioneering Eco-Efficiency in Cloud Computing: The Carbon-Conscious Federated Reinforcement Learning (CCFRL) Approach. - Eunil Seo; Erik Elmroth (IEEE Internet Things J., 2025)

LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics. - Eunil Seo; Chanh Nguyen 001; Erik Elmroth (CoRR, 2025)