Eunil Seo

Orcid: 0000-0003-2514-3043

According to our database1, Eunil Seo authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization.
IEEE Trans. Cloud Comput., 2023

MadFed: Enhancing Federated Learning With Marginal-Data Model Fusion.
IEEE Access, 2023

Accelerating convergence in wireless federated learning by sharing marginal data.
Proceedings of the International Conference on Information Networking, 2023

2022
Resource-Efficient Federated Learning With Non-IID Data: An Auction Theoretic Approach.
IEEE Internet Things J., 2022

2021
Auction-based Federated Learning using Software-defined Networking for resource efficiency.
Proceedings of the 17th International Conference on Network and Service Management, 2021

2020
Lightweight Convolutional Neural Network Based Intrusion Detection System.
J. Commun., 2020

2019
Mathematical Modeling of the Scalable LISP-deployed Software-Defined Wireless Network.
J. Commun., 2019

Profiling-Based Classification Algorithms for Security Applications in Internet of Things.
Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019

A Method to Enhance the Security Capability of Python IDE.
Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019

2018
The Scalable LISP-Deployed Software-Defined Wireless Network (LISP-SDWN) for a Next Generation Wireless Network.
IEEE Access, 2018

2017
Leveraging Software-Defined Wireless Network (SDWN) by Locator/Identifier Split Scheme for Mobility Management.
J. Commun., 2017

Design of the Central LISP Management System for the Software-Defined Wireless Network (SDWN).
Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access, 2017

ProFiOt: Abnormal Behavior Profiling (ABP) of IoT devices based on a machine learning approach.
Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017


  Loading...