|
2022 Conference Publication Semantic preserving adversarial attack generation with autoencoder and genetic algorithmWang, Xinyi, Enoch, Simon Yusuf and Kim, Dan Dongseong (2022). Semantic preserving adversarial attack generation with autoencoder and genetic algorithm. IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, 4-8 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/globecom48099.2022.10000826 |
|
2022 Journal Article DIVERGENCE: deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure frameworkKim, Sunghwan, Yoon, Seunghyun, Cho, Jin-Hee, Kim, Dong Seong, Moore, Terrence J., Free-Nelson, Frederica and Lim, Hyuk (2022). DIVERGENCE: deep reinforcement learning-based adaptive traffic inspection and moving target defense countermeasure framework. IEEE Transactions On Network and Service Management, 19 (4), 4834-4846. doi: 10.1109/TNSM.2021.3139928 |
|
2022 Conference Publication Evaluating performance and security of a hybrid moving target defense in SDN environmentsKim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F., Ko, Ryan K. L. and Dongseong Kim, Dan (2022). Evaluating performance and security of a hybrid moving target defense in SDN environments. 22nd IEEE International Conference on Software Quality, Reliability and Security (QRS), Guangzhou, China, 5-9 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/qrs57517.2022.00037 |
|
2022 Journal Article Evaluating the security and economic effects of moving target defense techniques on the cloudAlavizadeh, Hooman, Aref, Samin, Kim, Dong Seong and Jang-Jaccard, Julian (2022). Evaluating the security and economic effects of moving target defense techniques on the cloud. IEEE Transactions on Emerging Topics in Computing, 10 (4), 1772-1788. doi: 10.1109/tetc.2022.3155272 |
|
2022 Other Outputs UQ IoT IDS dataset 2021He, Ke, Kim, Dan, Zhang, Zhien, Ge, Mengmeng, Lam, Ulysses and Yu, Jiaqi (2022). UQ IoT IDS dataset 2021. The University of Queensland. (Dataset) doi: 10.48610/17b44bb |
|
2022 Other Outputs UQ-IoT-IDS2021He, Ke, Kim, Dan and Zhang, Zhien (2022). UQ-IoT-IDS2021. The University of Queensland. (Dataset) doi: 10.48610/6acdb93 |
|
2022 Journal Article An integrated security hardening optimization for dynamic networks using security and availability modeling with multi-objective algorithmEnoch, Simon Yusuf, Mendonça, Júlio, Hong, Jin B., Ge, Mengmeng and Kim, Dong Seong (2022). An integrated security hardening optimization for dynamic networks using security and availability modeling with multi-objective algorithm. Computer Networks, 208 108864, 1-19. doi: 10.1016/j.comnet.2022.108864 |
|
2022 Journal Article Performability evaluation of switch-over Moving Target Defense mechanisms in a Software Defined Networking using stochastic reward netsNguyen, Tuan Anh, Kim, Minjune, Lee, Jangse, Min, Dugki, Lee, Jae-Woo and Kim, Dongseong (2022). Performability evaluation of switch-over Moving Target Defense mechanisms in a Software Defined Networking using stochastic reward nets. Journal of Network and Computer Applications, 199 103267, 103267. doi: 10.1016/j.jnca.2021.103267 |
|
2022 Conference Publication Security Modeling and Analysis of Moving Target Defense in Software Defined NetworksMendonça, Júlio, Kim, Minjune, Graczyk, Rafal, Völp, Marcus and Kim, Dan Dongseong (2022). Security Modeling and Analysis of Moving Target Defense in Software Defined Networks. 27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC), Beijing, China, 28 November - 1 December 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/PRDC55274.2022.00028 |
|
2022 Conference Publication A Practical Security Evaluation of a Moving Target Defence against Multi-Phase CyberattacksMoghaddam, Tina, Kim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F. and Kim, Dan Dongseong (2022). A Practical Security Evaluation of a Moving Target Defence against Multi-Phase Cyberattacks. 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Baltimore, MD United States, 27-30 June 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DSN-W54100.2022.00026 |
|
2022 Conference Publication Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking EnvironmentKim, Minjune, Cho, Jin-Hee, Lim, Hyuk, Moore, Terrence J., Nelson, Frederica F. and Kim, Dan Dongseong (2022). Performance and Security Evaluation of a Moving Target Defense Based on a Software-Defined Networking Environment. 27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC), Beijing, China, 28 November - 1 December 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/PRDC55274.2022.00026 |
|
2021 Conference Publication Model-based cybersecurity analysis: past work and future directionsEnoch, Simon Yusuf, Ge, Mengmeng, Hong, Jin B. and Kim, Dong Seong (2021). Model-based cybersecurity analysis: past work and future directions. 67th Annual Reliability and Maintainability Symposium (RAMS), Orlando, FL USA, 24-27 May 2021. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/RAMS48097.2021.9605784 |
|
2021 Journal Article Novel security models, metrics and security assessment for maritime vessel networksEnoch, Simon Yusuf, Lee, Jang Se and Kim, Dong Seong (2021). Novel security models, metrics and security assessment for maritime vessel networks. Computer Networks, 189 107934, 1-18. doi: 10.1016/j.comnet.2021.107934 |
|
2021 Journal Article Evaluating the effectiveness of shuffle and redundancy MTD techniques in the cloudAlavizadeh, Hooman, Hong, Jin B., Kim, Dong Seong and Jang-Jaccard, Julian (2021). Evaluating the effectiveness of shuffle and redundancy MTD techniques in the cloud. Computers and Security, 102 102091, 102091. doi: 10.1016/j.cose.2020.102091 |
|
2021 Journal Article DESOLATER: deep reinforcement learning-based resource allocation and moving target defense deployment frameworkYoon, Seunghyun, Cho, Jin-Hee, Kim, Dong Seong, Moore, Terrence J., Free-Nelson, Frederica and Lim, Hyuk (2021). DESOLATER: deep reinforcement learning-based resource allocation and moving target defense deployment framework. IEEE Access, 9 9418999, 70700-70714. doi: 10.1109/access.2021.3076599 |
|
2021 Journal Article Panop: Mimicry-Resistant ANN-based Distributed NIDS for IoT NetworksKim, Hyunjun, Ahn, Sunwoo, Ha, Whoi Ree, Kang, Hyunjae, Kim, Dong Seong, Kim, Huy Kang and Paek, Yunheung (2021). Panop: Mimicry-Resistant ANN-based Distributed NIDS for IoT Networks. IEEE Access, 9 9508433, 111853-111864. doi: 10.1109/ACCESS.2021.3103015 |
|
2021 Conference Publication A hierarchical modeling approach for evaluating availability of dynamic networks considering hardening optionsMendonca, Julio, Enoch, Simon Yusuf, Andrade, Ermeson and Kim, Dan Dongseong (2021). A hierarchical modeling approach for evaluating availability of dynamic networks considering hardening options. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, VIC, Australia, 17-20 October 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SMC52423.2021.9658849 |
|
2021 Conference Publication A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection SystemsMogg, Raymond, Enoch, Simon Yusuf and Kim, Dong Seong (2021). A Framework for Generating Evasion Attacks for Machine Learning Based Network Intrusion Detection Systems. 22nd International Conference, WISA 2021, Jeju, Korea, 11–13 August 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-89432-0_5 |
|
2021 Journal Article Performance impact analysis of services under a time-based moving target defense mechanismMendonça, Júlio, Cho, Jin-Hee, Moore, Terrence J, Nelson, Frederica F, Lim, Hyuk and Kim, Dan Dongseong (2021). Performance impact analysis of services under a time-based moving target defense mechanism. Journal of Defense Modeling and Simulation, 20 (1), 41-56. doi: 10.1177/15485129211036937 |
|
2020 Journal Article Privacy-preserving reinforcement learning using homomorphic encryption in cloud computing infrastructuresPark, Jaehyoung, Kim, Dong Seong and Lim, Hyuk (2020). Privacy-preserving reinforcement learning using homomorphic encryption in cloud computing infrastructures. IEEE Access, 8 203564, 203564-203579. doi: 10.1109/access.2020.3036899 |
