Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim: MTD in Plain Sight: Hiding Network Behavior in Moving Target Defenses. DSN-S 2024: 50-52
Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim: MTDSense: AI-Based Fingerprinting of Moving Target Defense Techniques in Software-Defined Networking. CoRR abs/2408.03758 (2024)
Qisheng Zhang, Jin-Hee Cho, Terrence J. Moore, Dan Dongseong Kim, Hyuk Lim, Frederica Nelson: EVADE: Efficient Moving Target Defense for Autonomous Network Topology Shuffling Using Deep Reinforcement Learning. ACNS (1) 2023: 555-582
Tina Moghaddam, Guowei Yang, Chandra Thapa, Seyit Camtepe, Dan Dongseong Kim: POSTER: Toward Intelligent Cyber Attacks for Moving Target Defense Techniques in Software-Defined Networking. AsiaCCS 2023: 1022-1024
Tina Moghaddam, Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim: A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. DSN Workshops 2022: 103-110
Tuan Anh Nguyen, Minjune Kim, Jang Se Lee, Dugki Min, Jae-Woo Lee, Dan Dongseong Kim: Performability evaluation of switch-over Moving Target Defence mechanisms in a Software Defined Networking using stochastic reward nets. J. Netw. Comput. Appl. 199: 103267 (2022)
Hooman Alavizadeh, Samin Aref, Dong Seong Kim, Julian Jang-Jaccard: Evaluating the Security and Economic Effects of Moving Target Defense Techniques on the Cloud. IEEE Trans. Emerg. Top. Comput. 10(4): 1772-1788 (2022)
Mengmeng Ge, Jin-Hee Cho, Dong Seong Kim, Gaurav Dixit, Ing-Ray Chen: Proactive Defense for Internet-of-things: Moving Target Defense With Cyberdeception. ACM Trans. Internet Techn. 22(1): 24:1-24:31 (2022)
Sunghwan Kim, Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim: DIVERGENCE: Deep Reinforcement Learning-Based Adaptive Traffic Inspection and Moving Target Defense Countermeasure Framework. IEEE Trans. Netw. Serv. Manag. 19(4): 4834-4846 (2022)
Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Dan Dongseong Kim: Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. PRDC 2022: 119-129
Júlio Mendonça, Minjune Kim, Rafal Graczyk, Marcus Völp, Dan Dongseong Kim: Security Modeling and Analysis of Moving Target Defense in Software Defined Networks. PRDC 2022: 141-151
Minjune Kim, Jin-Hee Cho, Hyuk Lim, Terrence J. Moore, Frederica F. Nelson, Ryan K. L. Ko, Dan Dongseong Kim: Evaluating Performance and Security of a Hybrid Moving Target Defense in SDN Environments. QRS 2022: 276-286
Hooman Alavizadeh, Jin B. Hong, Dong Seong Kim, Julian Jang-Jaccard: Evaluating the effectiveness of shuffle and redundancy MTD techniques in the cloud. Comput. Secur. 102: 102091 (2021)
Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim: DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework. IEEE Access 9: 70700-70714 (2021)
Dilli P. Sharma, Simon Yusuf Enoch, Jin-Hee Cho, Terrence J. Moore, Frederica F. Nelson, Hyuk Lim, Dong Seong Kim, Dynamic Security Metrics for Software-Defined Network-based Moving Target Defense, Journal of Network and Computer Applications, 2020
Yoon, S., Cho, J. H., Kim, D. S., Moore, T. J., Nelson, F. F., Lim, H., & Kamhoua, C.: Moving target defense for in-vehicle software-defined networking: IP shuffling in network slicing with multiagent deep reinforcement learning. In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, Vol. 11413, SPIE, 2020
Hooman Alavizadeh, Jin B. Hong, Julian Jang-Jaccard, Dongseong Kim, Comprehensive Security Assessment of Combined MTD Techniques for the Cloud, MTD@CCS, 2018