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Seunghyun Yoon
Seunghyun Yoon
Assistant Professor, Korea Institute of Energy Technology (KENTECH)
在 kentech.ac.kr 的电子邮件经过验证 - 首页
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引用次数
引用次数
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Toward proactive, adaptive defense: A survey on moving target defense
JH Cho, DP Sharma, H Alavizadeh, S Yoon, N Ben-Asher, TJ Moore, ...
IEEE Communications Surveys & Tutorials 22 (1), 709-745, 2020
3202020
FRVM: Flexible random virtual IP multiplexing in software-defined networks
DP Sharma, DS Kim, S Yoon, H Lim, JH Cho, TJ Moore
2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018
832018
Attack graph-based moving target defense in software-defined networks
S Yoon, JH Cho, DS Kim, TJ Moore, F Free-Nelson, H Lim
IEEE Transactions on Network and Service Management 17 (3), 1653-1668, 2020
722020
Scalable traffic sampling using centrality measure on software-defined networks
S Yoon, T Ha, S Kim, H Lim
IEEE Communications Magazine 55 (7), 43-49, 2017
572017
Optimal network reconfiguration for software defined networks using shuffle-based online MTD
JB Hong, S Yoon, H Lim, DS Kim
2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS), 234-243, 2017
462017
Suspicious flow forwarding for multiple intrusion detection systems on software-defined networks
T Ha, S Yoon, AC Risdianto, JW Kim, H Lim
IEEE Network 30 (6), 22-27, 2016
462016
SDN-based IP shuffling moving target defense with multiple SDN controllers
J Narantuya, S Yoon, H Lim, JH Cho, DS Kim, T Moore, F Nelson
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
382019
Secure collecting, optimizing, and deploying of firewall rules in software-defined networks
S Kim, S Yoon, J Narantuya, H Lim
IEEE Access 8, 15166-15177, 2020
262020
DIVERGENCE: Deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework
S Kim, S Yoon, JH Cho, DS Kim, TJ Moore, F Free-Nelson, H Lim
IEEE Transactions on Network and Service Management, 2022
222022
DESOLATER: Deep reinforcement learning-based resource allocation and moving target defense deployment framework
S Yoon, JH Cho, DS Kim, TJ Moore, F Free-Nelson, H Lim
IEEE Access 9, 70700-70714, 2021
222021
Deep reinforcement learning-based traffic sampling for multiple traffic analyzers on software-defined networks
S Kim, S Yoon, H Lim
IEEE Access 9, 47815-47827, 2021
182021
Poster: Address shuffling based moving target defense for in-vehicle software-defined networks
S Yoon, JH Cho, DS Kim, TJ Moore, F Nelson, H Lim
The 25th Annual International Conference on Mobile Computing and Networking, 1-3, 2019
152019
Fast controller switching for fault-tolerant cyber-physical systems on software-defined networks
S Yoon, J Lee, Y Kim, S Kim, H Lim
2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing …, 2017
152017
Moving target defense for in-vehicle software-defined networking: IP shuffling in network slicing with multiagent deep reinforcement learning
S Yoon, JH Cho, DS Kim, TJ Moore, FF Nelson, H Lim, N Leslie, ...
Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2020
102020
Seamless virtualized controller migration for drone applications
N An, S Yoon, T Ha, Y Kim, H Lim
IEEE Internet Computing 23 (2), 51-58, 2018
92018
Resource‐aware intrusion response based on deep reinforcement learning for software‐defined internet‐of‐battle‐things
S Yoon, JH Cho, G Dixit, IR Chen
Game Theory and Machine Learning for Cyber Security, 389-409, 2021
62021
RTSS: Random traffic sampling and steering for OpenFlow-enabled networks
T Ha, S Yoon, S Kim, H Lim
ACM CoNEXT Student Workshop, Irvine, California, 2016
42016
CLiCK: Continual Learning Exploiting Intermediate Network Models With A Slack Class
H Kim, S Yoon, H Lim
IEEE Access, 2023
12023
Deep Reinforcement Learning-based Building Energy Management using Electric Vehicles for Demand Response
D Kang, S Yoon, H Lim
2023 International Conference on Artificial Intelligence in Information and …, 2023
12023
Poster: Flow inspection scheduling for cyber security on software-defined networks
S Kim, S Yoon, H Lim
IEEE Symposium on Security and Privacy (S&P 2017), 2017
12017
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