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 | 320 | 2020 |
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 | 83 | 2018 |
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 | 72 | 2020 |
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 | 57 | 2017 |
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 | 46 | 2017 |
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 | 46 | 2016 |
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 | 38 | 2019 |
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 | 26 | 2020 |
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 | 22 | 2022 |
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 | 22 | 2021 |
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 | 18 | 2021 |
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 | 15 | 2019 |
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 | 15 | 2017 |
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 | 10 | 2020 |
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 | 9 | 2018 |
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 | 6 | 2021 |
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 | 4 | 2016 |
CLiCK: Continual Learning Exploiting Intermediate Network Models With A Slack Class H Kim, S Yoon, H Lim IEEE Access, 2023 | 1 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2017 |